[B급 프로그래머] 12월 4주 소식(빅데이터/인공지능, 하드웨어, 읽을거리 부문)

(오늘의 짤방: 그러네ㅋㅋㅋ 사람도 이렇게 일시키면 잘할 것 같은데ㅋㅋㅋ via @nameEO)

1. 빅데이터/인공지능
   • Stable Diffusion in Java (SD4J) Enables Generating Images With Deep Learning
   • LLM Compiler Agent Cookbook
   • Temporian is a library for safe, simple and efficient preprocessing and feature engineering of temporal data in Python.
   • Needle in a 930M Member Haystack: People Search AI @LinkedIn
   • Hands-on LLMs Course - Learn to Train and Deploy a Real-Time Financial Advisor
   • Tanuki - LLM 기반의 앱을 쉽게 개발하기 (github.com/Tanuki)
   • AI가 특허권, 혹은 저작권을 가질 수 있을까?
   • Emu2 - Gemini와 비슷한 오픈소스 37B 멀티모달 모델 (github.com/baaivision)
   • 5 Levels Of Text Splitting/Chunking:
   • 26 Prompting Tips
   • The "Hello World"s of machine learning & AI:
   • "2024년은 생성 AI 과대광고 끝나고 비즈니스로 승부"
   • Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases
   • LLM Interactive Optimization of Open Source Python Libraries -- Case Studies and Generalization
   • A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
   • Introducing Ultralytics YOLOv8, the latest version of the acclaimed real-time object detection and image segmentation model.
   • Detecting Technical Debt Using Natural Language Processing Approaches -- A Systematic Literature Review
   • Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's GPT-4 with Self-Hosted Open Source SLMs in Production
   • Language Model Based on FastText
   • Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
   • Vertical AI - 지속 가능한 AI 앱을 위해 수직적 접근방식이 중요한 이유 (greylock.com)
   • GPT Pilot is a true AI developer that writes code, debugs it, talks to you when it needs help, etc.
   • Midjourney v6 릴리즈 (mid-journey.ai)
   • Per-User Retrieval
   • OpenAI Publishes GPT Prompt Engineering Guide
   • Exploiting Novel GPT-4 APIs
   • Advanced RAG Techniques: an Illustrated Overview
   • VCoder: Versatile Vision Encoders for Multimodal Large Language Models
   • InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks —— An Open-Source Alternative to ViT-22B
   • Retrieval-Augmented Generation for Large Language Models: A Survey
   • "제미나이 프로 이용정보, 구글이 다 들여다본다"
   • "AI가 굴리는데 영 신통찮네"…적자 쌓이는 로보어드바이저社 [긱스]
   • Amazon Q Code Transformation: Automating Java Application Upgrades
   • Using Gemini AI in Android Apps with the New Google AI SDK
   • We'll need to settle on a good vocabulary to describe complex Large Language Model driven systems.
   • Building Your Own Product Copilot: Challenges, Opportunities, and Needs
   • 자동개인식별부터 감정분석까지…AI에 사활 건 IPTV 업계
   • 비디오몬스터, AI 기반 여행 브이로그 자동편집 앱 '비브(ViiV)' 론칭
   • Awesome LLM Interpretability - A curated list of amazingly awesome tools, papers, articles, and communities focused on Large Language Model (LLM) Interpretability.
   • 토스의 AI 그래픽 생성기, 토스트를 소개합니다 #2
   • Can LLMs Replace Data Analysts? Getting Answers Using SQL Part 2: Diving deeper into LLM agents
   • Google Gemini API (Python notebook)
   • Ferret: Refer and Ground Anything Anywhere at Any Granularity
   • How Not to Be Stupid About AI, With Yann LeCun
   • Stable Diffusion XL by Kaggle
   • Gemini-Pro model guide
   • LMPerf Leaderboard 🏆 - Utilizing the LLMPerf, we have benchmarked a selection of LLM inference providers.
   • GTC 2022 - How CUDA Programming Works - Stephen Jones, CUDA Architect, NVIDIA
   • MI300X has 32% more tflops than H100 for BF16 (1307 vs 989)!
   • LLMs Will Make Programming Useless In 10 Years
   • An In-depth Look at Gemini's Language Abilities
   • 영국 대법원, 다버스 사례 판결 내려 "AI는 특허 소유 못해"
   • 생성형 AI 파트너를 선택하는 방법 “신뢰하되 검증하라”
   • 세일즈포스, '직장 내 생성형 AI 활용 전망과 위험' 보고서 발표
   • Generate text with LLMs - Robust prompting & (guided) text generation
   • 구글 제미나이, 첫 외부 테스트서 'GPT-3.5 터보'보다 성능 떨어져
   • HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
   • Building RAG-based LLM Applications for Production
   • AppAgent: Multimodal Agents as Smartphone Users
   • Texify is an OCR model that converts images or pdfs containing math into markdown and LaTeX that can be rendered by MathJax ($$ and $ are delimiters).
   • Getting Started with Mixtral 8X7B
   • All of the LLM examples in MLX-examples now support quantized models out of the box: - Mistral, Mixtral, Llama, Phi2, Qwen + Code, Chat, and Instruct variants
   • Two new llama-datasets and a Gemini vs. GPT showdown
   • Running Mixtral 8x7 locally with LlamaIndex
   • Microsoft LLMLingua - 추론 가속 및 비용 절감을 위해 프롬프트 압축하기 (github.com/microsoft)
   • A Novel Approach for Rapid Development Based on ChatGPT and Prompt Engineering
   • Brand new: MLX models on the hub(huggingface)
   • Semantic Chunking?
   • Getting started with visual assistants: templates + video overview 👀🤖 (langchain)
   • Intel® Extension for Transformers An Innovative Transformer-based Toolkit to Accelerate GenAI/LLM Everywhere - [2023/12] Supported QLoRA on CPUs to make fine-tuning on client CPU possible.
   • Getting Started with Gemini
   • AgentSearch, an open-core effort to make humanity's knowledge accessible for LLM agents.
   • MLX Examples - This repo contains a variety of standalone examples using the MLX framework.
   • Emu2: Generative Multimodal Models are In-Context Learners
   • “사기꾼 찾아내는 AI” 사기 대응 AI 강화하는 금융 업계
   • "성공적 클라우드 전환이 토대" 한 CDIO가 전하는 '전사적 AI' 토대 구축기
   • PowerInfer - 소비자용 GPU를 사용해서 빠르게 LLM 서빙하기
   • 챗GPT, 여전히 숫자에 약해..."금융 분야 사용은 시기상조"
   • ChemCrow: Augmenting large-language models with chemistry tools
   • How to Deploy CogVLM on AWS
   • With the holidays upon us, some of us might be a little behind in our gift shopping. Gemini can help! Connect to the Gemini API and tell it a bit about the person you want to buy for and Gemini will give you a few suggestions!
   • Why 2023 was the most exciting year in computer vision history (so far)
   • Phi-2 is a 2.7B parameter language model released by Microsoft with performance that rivals much larger models. (MLX version)
   • LLM in a flash: Efficient Large Language Model Inference with Limited Memory
   • FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline
   • 너도나도 독점 LLM, 클라우드 경쟁 핵심으로
   • Welcome to the "Awesome ChatGPT Prompts" repository! This is a collection of prompt examples to be used with the ChatGPT model.
   • SlimSAM: 0.1% Data Makes Segment Anything Slim
   • A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
   • gsplat.js - JavaScript Gaussian Splatting library
   • Understanding GPU Memory 2: Finding and Removing Reference Cycles
   • Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation
   • Open Book LLM Science Exam
   • Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
   • microsoft/promptbase - 프롬프트 관련 자료, 모범사례, 예제 모음 (github.com/microsoft)
   • Calvin - An Open-Source Google Calendar Assistant
   • Microsoft Announces Small Language Model Phi-2
   • Coffee - AI를 이용한 프론트엔드 개발 도우미 (github.com/Coframe)
   • Multimodal RAG pipeline with LlamaIndex and Neo4j
   • KB금융, 내부통제 디지털화 추진...AI·RPA 활용
   • abracadabra: How does Shazam work?
   • The T5 models are encoder-decoder models pre-trained on a mixture of unsupervised and supervised tasks. (MLX version)
   • Bash One-Liners for LLMs
   • "SNS 지고 생성형 AI 뜬다, 마케팅 전략 변화 필요해" 가트너
   • 챗GPT 대응 1년…뛰는 ‘네이버’와 발도 못 뗀 ‘카카오’
   • "구글, 픽셀폰 전용 AI비서 만든다…사물인식 안경도 개발 중"
   • Use Gemini and ChatGPT to learn from two capable teachers
   • 생성형 AI, 구축할 것인가 클라우드에서 살 것인가?
   • 사내 AI SQL 생성 슬랙봇 (m.blog.naver.com)
   • Many options for running Mistral models in your terminal using LLM
   • BricksLLM - LLM을 위한 AI Gateway (github.com/bricks-cloud)
   • [단독] 엔씨, 신사업 'AI 금융' 접는다…조직 해체
   • Building a Universal AI Scraper
   • Unlocking the Future of Data Products: Business focused AI agents team
   • RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models
   • LLM을 이용한 한줄짜리 Bash 스크립트들 (justine.lol)
   • Perspectives on the State and Future of Deep Learning - 2023
   • Resemble Enhance is an AI-powered tool that aims to improve the overall quality of speech by performing denoising and enhancement.
   • 창업자를 위한 AI 스펙트럼 (nfx.com)
   • 2024 기술 트렌드: AI, 그리고 그외 모든 것들 (ben-evans.com)
   • Invoice data processing LLM RAG on CPU with Ollama, LlamaIndex and Weaviate
   • Outliers have led me to 100s of business insights. But first I had to find them. In 6 minutes let me share 6 months of research into outliers.
   • GN⁺: OpenAI의 프롬프트 엔지니어링 가이드 (platform.openai.com)
   • Apple Open-sources Apple Silicon-Optimized Machine Learning Framework MLX
   • "2024년부터 '인공지능'이라는 말이 사라지기 시작할 것"
   • The Illustrated Stable Diffusion
   • Tree of Thought
   • Introduction to Anomaly Detection in Python with PyCaret
   • StoryGPT-V: Large Language Models as Consistent Story Visualizers
   • Prompt engineering by OpenAI
   • GN⁺: OpenAI, ByteDance가 자체 AI 모델 훈련에 GPT를 사용해서 계정 중단 (theverge.com)
   • Awesome System for Machine Learning - A curated list of research in machine learning system.
   • Mathematical discoveries from program search with large language models
   • Boxplots are one of the most useful tools in my Data Science arsenal. In 6 minutes, I'll teach you 6 years of using box plots for EDA and problem-solving. Let's dive in.
   • The Google AI Python SDK enables developers to use Google's state-of-the-art generative AI models (like Gemini and PaLM) to build AI-powered features and applications.
   • UIDraw - 폰에서 그린 그림으로 웹사이트 생성하기 (github.com/jordansinger)
   • Pixel Aligned Language Models
   • lightning.ai - Turn ideas into AI, Lightning fast: Code together. Prototype. Train. Deploy. Host AI web apps. From your browser - with zero setup
   • VideoLCM: Video Latent Consistency Model
   • “구글 AI검색 도입시, 트래픽 40% 하락” 공멸 우려 목소리 터졌다
   • Gemini API for Kaggle model
   • Gemini API Starter Notebook for Kaggle
2. 하드웨어
   • Everything You Need to Know about Fast Charging Your iPhone
   • GN⁺: 애플, 클라우드가 아닌 자체 하드웨어에서 직접 실행되는 AI를 원해 (arstechnica.com)
   • amx - If you are really interested in doing serious compute on Apple devices, check this:
   • Apple wants AI to run directly on its hardware instead of in the cloud
   • Ollama - Get up and running with large language models locally.
   • '인텔 4공정과 NPU 내장'··· 인텔 코어 울트라 칩 살펴보기
   • 2023년은 오픈 LLM의 해 (huggingface.co)
   • 인텔 CEO는 엔비디아의 '매우 운이 좋은' AI 지배력을 한탄하며 인텔이었어야 했다고 주장합니다.
   • osmos-2 released by @Microsoft is a very underrated model that can describe the image and answers questions about it, without hallucinating ✨
   • Which LLMs are best at using tools?
   • Just found out about the Chatbot Arena, it's brilliant.
   • 바이트댄스, 오픈AI API로 자체 챗봇을 개발하다 들통
   • 생성형 AI 도입에 집중하는 금융권
   • A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
   • Awesome-Multimodal-Large-Language-Models - 🔥🔥🔥 A Survey on Multimodal Large Language Models
   • AMD MI300X, Nvidia H100보다 30% 향상된 성능을 보여 (tomshardware.com)
   • Performance of llama.cpp on Apple Silicon A-series
   • “AI 에브리웨어 시대를 연다” 인텔 코어 울트라 칩 살펴보기
   • Inter-node and intra-node Networking Hardware (GPU 네트워킹 성능 평가)
   • 빠른 시작: Node.js 애플리케이션에서 Gemini API 시작하기
3. 읽을거리
   • PISA 2022 results(OECD 국가 수학 성적 통계 포함)
   • GN⁺: 모더나의 mRNA 암 백신, 예상보다 더 효과적임 (freethink.com)
   • The science of gift wrapping explains why sloppy is better
   • 28년 군 인생 뒤흔든 박정훈 대령의 맹세 [2023 올해의 인물]
   • 월급 관리의 기초
   • 미래에셋 "2차 베이비부머 세대 평균 자산 7.5억…83%가 부동산"
   • 두 가게
   • [ESC] 응답하라 ‘코끼리표 밥솥’···추억의 밥솥사
   • 중국 성장구조 전환과정과 파급영향 점검
   • “‘5공 전사’ 등 고증 탁월…악인에 분노하기보다 근본적 원인에 분노를”
   • 테무는 알고 있다. 우리 모두가 값싼 물건에 중독되어 있음을
   • How did they build the ISS? (International Space Station)
   • 2023 한국 부자 보고서 by KB 경영연구소
   • 자산 20억 넘는 부자 46만명…“내년 예적금·주식 투자 확대”

(보너스: Epoch vs Iteration via @levikul09)

[독서광] 프로덕트 매니저 원칙

이번 주는 프로덕트 매니저 원칙을 소개하겠다.

방송 스크립트는 전체 공개되어 있으며, 슬라이드셰어에서 보거나 다운로드 받을 수도 있다.

하이라이트를 요약 정리하면 다음과 같다:

• 00:00 도입
• 00:37 한 페이지 요약
• 01:48 이 책의 목차
• 02:57 무엇이 이 책을 흥미롭게 만드는가?
• 06:44 책 vs 책
• 09:17 대상 독자
• 10:05 결론과 마무리

EOB

[B급 프로그래머] 12월 3주 소식(개발/설계/경력관리/보안/클라우드/데이터베이스 관련 소식 정리)

(오늘의 짤방: via @OnlyrealSummy74)

개발 관련 소식

1. 팁과 유틸리티
   • NowDo - 미루는 사람들을 위한 MacOS용 무료 ToDo 앱 (nowdo.org)
   • FSearch - Unix-Like 시스템을 위한 빠른 파일 검색 도구 (github.com/cboxdoerfer)
   • Variable fonts - A collection of fun experiments, effects, examples and stuff I have learned as a developer about variable fonts.
   • Top 12+ VSCode Extensions to Improve Your Productivity
   • 맥 새로 셋업할 때 무조건 까는 유틸리티 모음
   • 캔바가 포토샵보다 좋은 4가지 이유
   • 아마존 킨들 200% 활용하는 팁 10가지
2. 프로그래밍
   • V8이 더 빠르고 안전해 졌습니다 (v8.dev)
   • What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity
   • Behind the Intent of Extract Method Refactoring: A Systematic Literature Review
   • Then let’s do the math together on some well known software. 🧵
   • rustix - Safe Rust bindings to POSIX/Unix/Linux/Winsock syscalls
   • Every engineer should understand git reflog
   • A Comprehensive Guide to Java's New Feature: Pattern Matching for Switch
   • Profiling Go Web Services in Production
   • 2024 안목있는 당신을 위한 IT 도서(교보문고)
   • An intuitive documentation strategy
   • What I Learned Over the Weekend About HTTP
   • String Templates in Java – why should you care?
   • Java for desktop applications: Tips and Tricks (Part 1)
   • Loom is just HyperThreading in Java
   • Pattern Matching for switch - Sip of Java
   • How to find dead code in your Java services
   • How do you know if a Java Collection is Mutable or Immutable?
   • Java 21: So How Should We Construct Strings Now?
   • Everything Bad in Java is Good for You
   • Prospectsfor an Engineering Discipline of Software
   • Engineering Discipline of Software
   • Implementing a Simple Garbage Collector in C#
   • Comparing REST, gRPC & GraphQL
   • The State of Developer Ecosystem 2023
   • PYTEST DAEMON: 10X LOCAL TEST ITERATION SPEED
   • Interactive code cells - Like Jupyter Notebook but for everything(교육 콘텐츠에 활용)
   • codescene - Unlike regular code analysis tools, CodeScene prioritizes based on how you work with the code: automated & actionable.
   • WebDriver BiDi의 강력한 기능 활용하기: Puppeteer를 통한 Chrome 및 Firefox 자동화
   • What's the difference between API keys and tokens?
   • 피그마 Dev mode 플러그인을 만들어서 웹 프론트엔드팀 생산성 높여보기
   • De4py are an Advanced python deobfuscator with a beautiful UI and a set of Advanced features that enables malware analysts and reverse engineers to deobfuscate python files and more.
   • 아름다운 코드에 대하여 (kciter.so)
   • GN⁺: SSH3: HTTP/3 및 QUIC을 사용하는 SSHv2 (github.com/francoismichel)
   • GN⁺: Atree: 간단하고 효율적인 포인터 없는 Tree 구현체 (github.com/tlack)
   • Real-world match/case
   • Excellent upgrade for every Python developer.
   • Use unittest’s subtest helper
   • Python 3.11.7 is now available
   • SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine.
   • Presentation Slides for Developers
   • Write Your Own curl - This challenge is to build your own version of curl.
   • 역도경기 관리 시스템 제작 후기 - 어쩌다 역도 경기 프로그램을 만들게 되었나
   • A Close Look at a Spinlock
   • JEP 423: Introducing Region Pinning to G1 Garbage Collector in OpenJDK
   • Resilience4j is a fault tolerance library for Java™
   • Ohm is a parsing toolkit consisting of a library and a domain-specific language.
   • Bjarne Stroustrup’s Plan for Bringing Safety to C++
   • ShellCheck - finds bugs in your shell scripts.
   • Replacing WebRTC
   • HTML Web Components
   • Windows 98 in the browser
   • “2023년 성장률이 가장 높은 언어는 C#” 티오베
   • 카카오페이 온라인 결제 서비스 2.5배 성능 개선기
   • Safari 17.2의 새로운 WebKit 기능들 (webkit.org)
   • Introducing Learn Performance
   • Can gRPC replace REST and WebSockets for Web Application Communication?
   • DevTools의 새로운 기능 (Chrome 120)
   • A Web Socket Primer
   • Taipy is an open-source Python library for easy, end-to-end application development, featuring what-if analyses, smart pipeline execution, built-in scheduling, and deployment tools.
   • InfoQ Java Trends Report - November 2023
   • headerpwn: A fuzzer for analyzing how servers respond to different HTTP headers
   • GN⁺: Ask HN: 버전 관리를 위해 Git보다 나은 방법이 있을까요? (news.ycombinator.com)
   • FrankenPHP v1.0 릴리즈 (laravel-news.com)
   • Use Deno KV in Node with the new official npm package
   • Building a small REPL in Python
   • What is *args and how do you use it?
   • 웹에서 IP 카메라 스트리밍 하기
   • Atuin replaces your existing shell history with a SQLite database, and records additional context for your commands.
   • Javet 3.0.2 Released: Bridging Java and JavaScript with Enhanced Features
   • Standard Webhooks Specification (github.com/standard-webhooks)
   • GN⁺: CPNG - PNG와 100% 하위 호환되는 포크 발표 (richg42.blogspot.com)
   • Sentry Introduces Non-Open-Source Functional Source License
   • Pororoca - HTTP/2 와 HTTP/3를 지원하는 HTTP 조사 도구 (github.com/alexandrehtrb)
3. DevOps
   • Dokémon - 사용하기 쉬운 도커 컨테이너 관리용 GUI (github.com/productiveops)
   • Step-By-Step Guide: Installing K3s on a Raspberry Pi 4 Cluster
   • Deploying a Production Kubernetes Cluster in 2023 — A Complete Guide
   • Node.js 20버전에 변경된 점들
   • The Python pickle Module: How to Persist Objects in Python
   • Trippy combines the functionality of traceroute and ping and is designed to assist with the analysis of networking issues.
   • All my favorite tracing tools: eBPF, QEMU, Perfetto, new ones I built and more
   • A deep dive into CPU requests and limits in Kubernetes
   • 결제는 계속된다: 결제 담당자가 장애에 대응하는 방법
   • Exploring Microsoft Radius Application Platform
   • ShadowTraffic is a containerized service for declaratively generating data, packed with knobs to perfectly mimic your production traffic.
   • Lessons Learned from Twenty Years of Site Reliability Engineering
   • AtomicJar is now part of Docker!
   • Schema Evolution with Apache Avro
4. 설계
   • Why Your Reliability Problems are Really Traffic Problems
   • 시스템 설계 청사진 완벽 가이드(고해상도)
   • awesome-low-level-design - This repository contains low level design (LLD) resources to improve object oriented design (OOD) skills and prepare for interviews.
   • Stack Overflow's Impressive Monolithic Architecture
   • Eventual Consistency – Don’t Be Afraid!
   • Examples of Great URL Design
   • Databases are the endgame for data-oriented design
   • Patterns For The Design Of Microservices – Part 2
   • API versioning
   • How Much Architecture Modeling Should You Do? Just Enough – Part 1
   • How Much Architecture Modeling Should You Do? The Factors That Determine Sufficiency – Part 2
   • Why the GOV.UK Design System team changed the input type for numbers
   • Load Balancing (explained visually)
   • The last Python Architecture you will ever need?
   • You don't need CRDTs for collaborative experiences
   • Architecting for success: how to choose the right architecture pattern
   • The Ultimate List of Best Software Architecture Books (2024) 📗
   • 12 Software Architecture Pitfalls and How to Avoid Them
   • 카카오페이지는 BFF(Backend For Frontend)를 어떻게 적용했을까?
   • 유럽의 새 에너지 효율 지침, 데이터센터 30%만 대응 가능
   • MSA 환경에서의 유연한 HTTP 클라이언트 설계 전략
   • Patterns for Developers and Architects building for the cloud
   • Design Systems Database
5. 경력 관리와 개발문화
   • The End of Programming is near...
   • 효과적인 개발자 생산성 측정 방법은?··· IT 전문가가 제시하는 팁 4가지
   • '개발자가 행복해지는 요소'··· 9가지 응답
   • 하루 9.3시간 직장서 보낸다, 출퇴근엔 72.6분 소요
   • What I Wish Someone Had Told Me by Sam Altman
   • 골드만삭스 부회장 짐 도노반의 조언
   • 개발팀의 행복을 유지하는 9가지 전략
   • “기업 74%, 내년도 채용 규모 축소하거나 중지 계획 74%” 디웨일
   • 연말 정리해고를 자행하는 이유, 오직 ‘가짜 실적’ 만들기
   • GN⁺: 왜 프로그래머는 문이 달린 개인 사무실이 필요할까? (blobstreaming.org)
   • GN⁺: "루비를 사랑하는 사람들" (eliseshaffer.com)
   • 연봉 2억원 주는, 직원 열명인 스타트업... 로플리 안준욱 대표 인터뷰
   • Unexpected Things That Make You a Senior Developer
   • Developer Experience for the 99%
   • "팀장 1명에 팀원 2~3명 수두룩"…SK '군살빼기' 나선다
   • 엔씨, 신사업 'AI 금융' 접는다…조직 해체
   • 제품, 영업, 그리고 시장
   • 한국 기관 스코어보드
   • Strategy for Engineering Managers
   • "3시간 넘는 출퇴근 시간…매일이 고돼 우울해요"
   • 창업자를 위한 AI 스펙트럼 (nfx.com)
   • 발표: 차이를 만드는 커리어 굴리기
   • SW 엔지니어링 인텔리전스 플랫폼이 필요한 이유 4가지
   • 유능한 CTO에게 보이는 7가지 특징
   • Donkey Kong: A Record of Struggle
   • SK “조직 66% 축소 원칙”… 긴축 나선 대기업들
   • "6개 빅테크 기업가치 총액 11조 달러"··· CB인사이츠, 빅 테크 차트 발표
   • B2B SaaS 회사가 교육에 집착하는 이유
   • A Progression Model of Software Engineering Goals, Challenges, and Practices in Start-Ups
   • Facebook Engineering Process with Kent Beck
   • 월급 밀리고, 감원 확산..스타트업도 대기업도 '경기 한파'에 '벌벌'
   • The surprising connection between after-hours work and decreased productivity
   • Safer, Not Later
   • How Google takes the pain out of code reviews, with 97% dev satisfaction
   • Found this repo of free certifications:
   • AWS 자격증 기초부터 심화까지 한 번에 알아보기
   • Critique - 구글이 개발자 만족도 97%로 코드 리뷰의 고통을 덜어주는 방법 (engineercodex.substack.com)
   • 오늘 할 일의 70%라도 해냈다면 성공했다고 기뻐하자
   • 노동자의 황금기가 온다

보안/클라우드/데이터베이스 관련 소식

1. 보안
   • ‘손님 얼굴 촬영해 절도범 DB와 비교’··· 美 약국 체인이 받은 처벌은?
   • Fast Google Dorks Scan
   • 전자서명 알고리즘 규격
   • OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys.
   • 몽고DB, 해킹으로 고객 정보 노출…추가 피해 경고
   • APIDetector is a powerful and efficient tool designed for testing exposed Swagger endpoints in various subdomains with unique smart capabilities to detect false-positives.
   • 해커 먹잇감' 클라우드, 보안인력은 태부족
   • Secure Code Game - A GitHub Security Lab initiative, providing an in-repo learning experience, where learners secure intentionally vulnerable code.
   • Hide Those Terminal Secrets!
   • Hacking Some More Secure USB Flash Drives (Part I)
   • Hacking Some More Secure USB Flash Drives (Part II)
   • Reflecting on the Internet Worm at 35
   • In a first, cryptographic keys protecting SSH connections stolen in new attack
   • Passive SSH Key Compromise via Lattices
   • Hacking Google Bard - From Prompt Injection to Data Exfiltration
   • Text-to-image AI models can be tricked into generating disturbing images
   • SneakyPrompt: Jailbreaking Text-to-image Generative Models
   • New BLUFFS attack lets attackers hijack Bluetooth connections
   • “2024년 보안 업계가 주목해야 할 트렌드, 단연 AI” 미 보안산업협회
   • ‘비밀번호 1111’··· 이란 조직의 초보적 공격에 당한 미 상수도 업계
   • 아이폰에 ‘도난 기기 보호’ 기능 추가된다
   • “3대 바이오스 벤더 모두 허술, 수백 만 PC가 위험하다”··· 로고페일 공격 경보
   • 로우코드·노코드 전사 도입 시 고려해야 할 10가지 보안 정책
   • 가트너 “‘클라우드 네이티브’로 보안 접근 바꿔야”
   • [기자수첩]예쁜 여자가 나한테 말을 걸리가 없다
   • Awesome Windows Red Team - A curated list of awesome Windows talks, tools and resources for Red Teams, from beginners to ninjas.
   • Turning Google smart speakers into wiretaps for $100k
   • 국정원 보안 요구에 아마존·MS·구글 당황...CSAP 下 인증 사실상 중단
   • Vulnerabilities in BMC Firmware Affect OT/IoT Device Security – Part 1
   • Vulnerabilities in BMC Firmware Affect OT/IoT Device Security – Part 2
   • 구글, 서드파티 공급업체의 MVSP 지침 개선 사항 발표
   • GN⁺: 제조사가 인위적으로 멈춰버린 기차를 수리한 폴란드 해커들, 철도 회사로부터 위협 받아 (404media.co)
   • Examining OpenSSH Sandboxing and Privilege Separation – Attack Surface Analysis
   • Racing against the clock -- hitting a tiny kernel race window
   • git-secrets - Prevents you from committing passwords and other sensitive information to a git repository.
2. 클라우드
   • The Frugal Architect: AWS Promotes Cost Awareness for Sustainability
   • 링크드인, 애저 클라우드로 인프라 전환 계획 없던 일로...왜?
   • AWS Adds Automated Detection of Unused IAM Roles, Users, and Permissions
   • “일 할래요” “응~ 안 뽑아”…지원 늘어도 채용 줄이는 스타트업, 왜?
   • AWS Exposes Free Tier API to Help Developers Avoid Unexpected Bills
   • Automated Horizontal Scaling with Amazon Aurora Limitless Database
   • Not even LinkedIn is that keen on Microsoft's cloud: Shift to Azure abandoned
   • Why Cloud Zombies Are Destroying the Planet and How You Can Stop Them
   • ‘퍼블릭 클라우드 서비스 매출 19% 증가, MS가 전체 선두’… IDC 보고서
   • 클라우드플레어 2023년 인터넷 트렌드 보고서 "트래픽 25% 증가, 인터넷 접속 기기 40%는 스마트폰"
   • ‘경쟁’ 대신 ‘협업’…‘AI+클라우드’ 신의 한 수 [MANAGEMENT]
   • Creating AWS CodePipeline Using AWS CDK
   • Amazon S3 Introduces High-Performance Storage Class
   • A beginner's guide to AWS Best Practices
3. 데이터베이스
   • Introducing JavaScript support in MySQL
   • sqlite-s3 - Serverless dev database: SQLite backed by S3
   • pspg - Postgres Pager
   • Database Fundamentals.
   • Golang용 SQLite 드라이버 벤치마크 (github.com/cvilsmeier)
   • “불가능한 것 알지만…” SQL의 굴레에서 벗어나고 싶은 9가지 이유
   • Zero downtime Postgres upgrades
   • Vector Databases for Gen AI Applications
   • The Ultimate Guide to Vector Database Landscape — 2024 and Beyond
   • Trying chDB, an embeddable ClickHouse engine
   • Postgres Language Server - A Language Server for Postgres. Not SQL with flavors, just Postgres.
   • Apache Pinot 1.0 Provides a Realtime Distributed OLAP Datastore

(보너스: 책 읽기 모임 때 읽은 인상적인 부분. via @raccoonyy)

EOB

[B급 프로그래머] 12월 2주 소식(빅데이터/인공지능, 하드웨어, 읽을거리 부문)

(오늘의 짤방: 근데 한중일 언어 대환장쇼는 이게 최고인거 같음 via @@Benzenekim)

1. 빅데이터/인공지능
   • Use Gemini to prompt Stable Diffusion
   • Here is my selection of papers for today (15 Dec) on @huggingface sent via email
   • Weak-to-strong generalization
   • Log probs are now available with chat completions! (for ChatGPT)
   • UDiffText - A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models
   • VGen is an open-source video synthesis codebase developed by the Tongyi Lab of Alibaba Group, featuring state-of-the-art video generative models.
   • Google Launches New Multi-Modal Gemini AI Model
   • Upscale-A-Video - Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution
   • gigaGPT - 565줄의 코드로 만든 GPT-3 모델 (cerebras.net)
   • vectara Cross-Encoder for Hallucination Detection
   • Measuring Hallucinations in RAG Systems
   • Using 🦜🛠️LangSmith To Inspect LangChain Agents
   • Google's new PaLI-3 vision language model achieves performance of 10x larger models
   • GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
   • AutoGPTQ - An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
   • Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
   • Researcher develops filter to tackle 'unsafe' AI-generated images
   • After Beatles, AI to bring Edith Piaf voice back to life for biopic
   • Transforming the future of music creation
   • talc.ai - Evaluation as a Service
   • giskard - The testing framework for ML models
   • AI bot capable of insider trading and lying, say researchers
   • Hacking Google Bard - From Prompt Injection to Data Exfiltration
   • Text-to-image AI models can be tricked into generating disturbing images
   • SneakyPrompt: Jailbreaking Text-to-image Generative Models
   • ● Open Interpreter - Let language models run code on your computer. An open-source, locally running implementation of OpenAI's Code Interpreter.
   • Fast and Portable Llama2 Inference on the Heterogeneous Edge
   • 🔎Proposition-Based Retrieval
   • 생산 시스템에 도입 본격화되는 생성형 AI… 핵심은 ‘신뢰 구축’
   • “허비한 3개월조차 아깝다”··· 생성형 AI 기업 업스킬링 사례 6선
   • Round 2: We test the new Gemini-powered Bard against ChatGPT
   • “IT 변화 속도에 발맞추려면 데이터 활용이 관건” 다이나트레이스가 말하는 AI 기반 데이터 관리 전략
   • “온디바이스 AI는 어떻게 작동할까?” 아이폰 확대기 앱을 보면 안다
   • Build apps faster with new Duet AI in Google Cloud training content
   • IBM이 제안하는 ‘생성형 AI 비즈니스 활용법’
   • ‘LLM보다 특정 사용 사례에 적합’… MS, 차세대 SLM 파이-2 공개
   • "생성형 AI의 적정가는 누가 결정하는가?" 생성형 AI 가격 정책과 전망
   • 다른 AI 챗봇은 제공하지 않는 ‘구글 바드’의 독보적인 기능 한 가지
   • IT가 동네 축구팀을 분데스리가로 진출시킨 방법 : TSG 호펜하임
   • 미국 최대 노조와 손잡은 MS "AI로 변화하는 노동환경에 대비"
   • CogAgent: A Visual Language Model for GUI Agents
   • Gemini API Starter Notebook
   • Everybody’s talking about Mistral, an upstart French challenger to OpenAI
   • Mixture of Experts Explained
   • Windows AI Studio simplifies generative AI app development by bringing together cutting-edge AI development tools and models from Azure AI Studio Catalog and other catalogs like Hugging Face.
   • 🦜📃Docugami KG-RAG Template
   • 사업 영역 넓혀가는 AI… 챗GPT, 뉴스 사용 계약 체결
   • Elon Musk가 FSD에 대해서 했던 말들을 시간순으로 정리
   • StemGen: A music generation model that listens
   • PyTorch 2 Internals
   • Microsoft Windows AI Studio 프리뷰 (github.com/microsoft)
   • Gemini Playground 💬 - Play with Gemini Pro and Gemini Pro Vision API
   • tldraw - is this the future of backend?
   • You can now run ChatGPT-like LLMs such as Mistral 7B locally on your phone.
   • Support Vector Machine Clearly Explained!
   • 코어에이아이, 포스코이앤씨 첨단 인공지능 기술 망라한 AI 비서 ‘포박사’ 구축
   • This application demonstrates real time image-to-image inference capabilities of fal.ai.
   • tldraw - why did I learn sql
   • Introducing Google Gemini Pro as Copilot in VSCode 🚨
   • Turning Google smart speakers into wiretaps for $100k
   • "국제통화 이제는 안두렵다!"...AI가 통화 실시간으로 통역해준다!!
   • 2024년 광고 혁명 온다... 구글, 실사에 가까운 생성AI ‘이매진2’ 출시
   • Gemini API로 빌드 - 구글
   • It’s time for developers and enterprises to build with Gemini Pro
   • Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person
   • Gemini API and more new AI tools for developers and enterprises
   • PromptBench: A Unified Library for Evaluation of Large Language Models
   • 메타, AI 안전성 평가하는 오픈소스 툴 2종 출시
   • 또 왓슨 브랜드로?...'왕년 빅테크' IBM의 AI 재도전
   • 줌, 줌 컨택센터 요금제 개편… “모든 조직에 AI 기반 고객경험 제공”
   • AWS, 아마존 커넥트의 생성형 AI 신기능 발표
   • ‘책임은 결국 사람의 몫’··· 조직이 감안할 생성형 AI 함정 6가지
   • ‘IT 서비스 데스크, 생성형 AI로 자동화’… 북미 토요타의 애자일 접근법
   • Netflix, 년 2회 인게이지먼트(시청 현황) 보고서 발행 (about.netflix.com)
   • Netflix releases most transparent data to date about viewership
   • Langchain의 주요 구성 요소 소개
   • MedLM: generative AI fine-tuned for the healthcare industry
   • AI로 투자가 대세…증권사 전담조직 신설 붐
   • EdgeSAM - Prompt-In-the-Loop Distillation for On-Device Deployment of SAM
   • First Impressions with Google’s Gemini (esp. vision)
   • ⭐️ Benchmarking semi-structured RAG ⭐️
   • A big factor for building production RAG is deciding the "chunk" used for retrieval + synthesis: should it be a sentence? Paragraph?
   • Celebrating the first year of Copilot with significant new innovations
   • GN⁺: Show HN: 가짜 Google Gemini 데모를 GPT-4를 사용하여 재제작, 이번엔 실제로 구현 (sagittarius.greg.technology)
   • ChatGPT의 강력한 경쟁 언어모델 등장!, Mixtral 8x7B
   • Toolformer: Language Models Can Teach Themselves to Use Tools
   • Multi-modal RAG on slide decks
   • How To Choose Your LLM
   • 구글, Imagen 2 이미지 생성 AI 정식 출시 (cloud.google.com)
   • Solar rises ☀️ @upstageai just released Solar a 10B an open LLM outperforming other LLMs up to 30B parameters, including Mistral 7B.
   • Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
   • tldraw - Screenshot of an entity relationship diagram -> SQL queries needed to create the tables
   • 업스테이지, 글로벌 생성 AI 대전에 출사표!...사전학습 LLM '솔라' 공개, ‘허깅페이스 오픈 LLM 리더보드’ 세계 1위 등극
   • How to Think Exponentially and Better Predict the Future
   • You can now immediately get started building multi-modal and advanced RAG use cases with the brand-new Gemini API ✨
   • count people in zone
   • Imagen 2 - Our most advanced text-to-image technology
   • GN⁺: macOSPilot - macOS를 위한 음성+비젼 CoPilot (github.com/elfvingralf)
   • 0.1% Data Makes Segment Anything Slim 🔥 Colab 🥳
   • COLMAP-Free 3D Gaussian Splatting
   • Phi-2: The surprising power of small language models
   • 🤖 DeciLM-7B-Instruct: A Fast Instruction-Tuned Model💨
   • “Make It Real” AI prototype wows devs by turning drawings into working software
   • Honeybee: Locality-enhanced Projector for Multimodal LLM
   • experimenting with CogVLM (GPT-4V alternative) and image prompts
   • DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing
   • Word2Vec 모델로 중국 전4사 텍스트 살펴보기: '皇'의 의미 변화를 중심으로
   • GitHub - microsoft/promptbase: All things prompt engineering - Medprompt and The Power of Prompting
   • The Emergent Abilities of LLMs Could Be A Mirage!
   • ROC and AUC are important concepts for evaluating classification models in business (e.g. lead scoring). In 6 minutes, I'll share what took me 60 days to figure out. Let's dive in.
   • AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
   • VILA: On Pre-training for Visual Language Models
   • Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
   • Introducing Segmind Vega: Compact model for Real-time Text-To-Image
   • Stability AI, Edge 기기를 위한 Stable LM Zephyr 3B LLM 공개 (stability.ai)
   • tldraw-llm-starter - A starter for working with tldraw and large language models.
   • Together, StripedHyena-7B 모델 공개 (together.ai)
   • A Survey of Large Language Models in Medicine: Principles, Applications, and Challenges
   • Memory Cache is a project that allows you to save a webpage while you're browsing in Firefox as a PDF, and save it to a synchronized folder that can be used in conjunction with privateGPT to augment a local language model.
   • Python client library for Mistral AI platform
   • LLM360 - A framework for open-source LLMs to foster transparency, trust, and collaborative research.
   • Microsoft's Orca 2 LLM Outperforms Models That Are 10x Larger
   • 제2회 LLM 밋업 with. Liner참고: 발표 자료)
   • This is perhaps one of the most important charts on AI for 2024.
   • Audiobox - Meta의 오디오 생성을 위한 새로운 파운데이션 모델 (ai.meta.com)
   • Welcome Mixtral - a SOTA Mixture of Experts on Hugging Face
   • GN⁺: Mistral AI, Llama 2 70B 모델보다 뛰어난 Mixtral 8x7B 모델 공개 (mistral.ai)
   • Audiobox: Where anyone can make a sound with an idea
   • Mistral AI brings the strongest open generative models to the developers, along with efficient ways to deploy and customise them for production. We’re opening a beta access to our first platform services today.
   • Mixtral of experts - A high quality Sparse Mixture-of-Experts.
   • Harvard university is offering FREE world class education in Data Science!
   • 👇quick intro guide for non-technical folks on how to get started(hugging face):
   • Photorealistic Video Generation with Diffusion Models
   • How to Build and Evaluate Agents over your Data 🤖🧪
   • Lean Copilot allows large language models (LLMs) to be used in Lean for proof automation, e.g., suggesting tactics/premises and searching for proofs.
   • DreaMoving: A Human Dance Video Generation Framework based on Diffusion Models
   • Ray vs Dask: Lessons learned serving 240k models per day in real-time
   • IITP "내년 AI경기 좋을 것 50%"···5대 AI전망 발표
   • STraceBERT: Source Code Retrieval using Semantic Application Traces.
   • Are We Testing or Being Tested? Exploring the Practical Applications of Large Language Models in Software Testing
   • Ragas is a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines.
   • I tested the RAG performance of hybrid search weightings (alpha) using Ragas 🧪
   • gpt-fast - Simple and efficient pytorch-native transformer text generation.
   • LLM4TDD: Best Practices for Test Driven Development Using Large Language Models
   • THEY LIVE (1988). 타이포그래피를 스토리텔링에 활용한 최고의 영화 중 하나가 아닌가 싶음.
   • PCA helped to visualize the K-Means similarity of RFQ (request for quotes).
   • CS 4786/5786: Machine Learning for Data Science Spring 2020
   • AI-enhanced development makes me more ambitious with my projects
   • X(트위터), ChatGPT 경쟁제품인 Grok을 X 프리미엄 구독자 대상으로 배포 시작 (techcrunch.com)
   • LlaVa Demo with LlamaIndex
   • 🦙 Panel ChatBot Pack - Build a chatbot to talk to your Github repository.
   • pix2tex - LaTeX OCR
   • Insanely Fast Whisper - distil-whisper small now in insanely-fast-whisper ⚡️
   • "제미나이 프로, 성능 별로"...'바드' 초기 테스트서 불만 속출
   • Improve your RAG application response quality with real-time structured data
   • Multimodal Retrieval Augmented Generation(RAG)
   • EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
   • guidance is a programming paradigm that offers superior control and efficiency compared to conventional prompting and chaining.
   • come to our demo at #EMNLP2023 of Papermage, a library for fast manipulation of PDFs
   • PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents
   • RAG the real world
   • Amazon Q is simply Outstanding!!!
   • Large Language Models on Graphs: A Comprehensive Survey
   • Booking.com 에서의 축차 검정 (Sequential Testing)
   • How it’s Made: Interacting with Gemini through multimodal prompting
   • 구글, 멀티모달 생성형 AI 모델 '제미나이' 공개
   • 메타, 멀티모달 데이터 세트 Ego-Exo4D 공개 "839명의 인간 활동 기록"
   • 오늘 강의에서 사용한 LLM 프롬프트 작성 요령. 자꾸 길어지면 안 되는데... 그래도 다 유용한 내용이라 못 줄이겠어 😭
   • ⚽ Football Players Tracking with YOLOv5 + ByteTrack
   • 4DHumans: Reconstructing and Tracking Humans with Transformers
   • 애플 실리콘용 ML 프레임워크 ‘MLX’ 등장의 숨은 의미
   • Multi-modal eval: GPT-4 w/ multi-modal embeddings and multi-vector retriever
   • 클라우드플레어, 2024년 AI 주요 전망 발표
   • 메타, 심리스 커뮤니케이션 모델 공개 "'준실시간으로 자연스럽게 번역"
   • 인포뱅크, AI 기반 채팅 서비스 ‘채티스트’ 개발
   • 드디어 내보인 아마존의 '진심' "AWS 생성형 AI의 미래는 통합"
   • 구글의 제미니, 모든 기기를 지원하는 새로운 멀티모달 생성형 AI 소프트웨어 모델
   • 차세대 윈도우에 탑재될 것으로 알려진 6가지 AI 기능
   • 맥도날드, 구글과 손잡고 매장에서 일하는 AI 챗봇 개발한다
   • “AWS 생성형 AI 전략 나왔다”…‘리인벤트 2023’ 행사 총정리
   • 오픈AI ‘큐스타’와 완벽한 AI를 만드는 마지막 5%
   • GN⁺: Meta, AI 관련 새로운 기능 업데이트 (about.fb.com)
   • Large Language Models for Mathematicians
   • Resume Matcher - AI를 이용한 이력서 교정 도구 오픈소스 (github.com/srbhr)
   • Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
   • MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.
   • Made With ML - Design · Develop · Deploy · Iterate
   • ⭐️ Multi-modal RAG public benchmark ⭐️
   • Announcing Purple Llama: Towards open trust and safety in the new world of generative AI
   • GN⁺: 구글의 최고 AI "Gemini" 데모는 조작되었다 (techcrunch.com)
   • I tried 14 of the multimodal reasoning examples from the @GoogleDeepMind Gemini paper on @OpenAI's chatGPT-4 (with vision).
   • Ollama Llama Pack Example
   • Building and Productionizing RAG
   • PyPose: A Library for Robot Learning with Physics-based Optimization
   • Here are 12 “hyperparameters” and tuning strategies you can experiment with RAG
   • LLMFlows is a framework for building simple, explicit, and transparent LLM(Large Language Model) applications such as chatbots, question-answering systems, and agents.
   • AlphaCode 2 Technical Report
   • 구글, AI 모델 Gemini 공개 (blog.google)
   • 의료 AI 첫발 내디뎠지만 보험수가 낮아 업계 '울상'
   • Towards Accurate Differential Diagnosis with Large Language Models
   • Summarizing Post Incident Reviews with GPT-4 - How we use GPT-4 to summarize incident reports.
   • Best-of Machine Learning with Python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
   • GPTs 사용법 - 나만의 GPT 만들기 가이드
   • 무료 인공지능 기초 강좌 모음 (slashpage.com)
   • 🎩Magicoder is a model family empowered by 🪄OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets for generating low-bias and high-quality instruction data for code.
   • 법조계가 직면한 생성형 AI 과제… 법률 서비스 기업 렉시스넥시스 사례
   • GN⁺: AWS, 기업용 AI 챗봇 "아마존 Q(프리뷰)" 발표 (aws.amazon.com)
   • 맞춤 GPT에 비전API도, 오픈AI 업글 왜 중요한가
   • “아마존 Q, 환각 일으켜 내부 기밀 유출한다” 주장 제기돼
   • Building a Live RAG Pipeline over Google Drive Files
   • Marker converts PDF, EPUB, and MOBI to markdown. It's 10x faster than nougat, more accurate on most documents, and has low hallucination risk.
   • The Efficiency Spectrum of Large Language Models: An Algorithmic Survey
   • Magicoder: Source Code Is All You Need
   • Self-Operating Computer Framework - A framework to enable multimodal models to operate a computer.
   • GPTs vs Assistants - Comparison of GPTs in ChatGPT to Assistants in the OpenAI API.
   • Quivr, your second brain, utilizes the power of GenerativeAI to be your personal assistant ! Think of it as Obsidian, but turbocharged with AI capabilities.
   • Enhance! HORNK! Artificial intelligence can now ID individual geese
   • Leveraging Large Language Models to Improve REST API Testing
   • It's December! And I was just reminiscing about all the things that happened in / defined AI in 2023
   • Segment and Caption Anything
   • RAGs is a Streamlit app that lets you create a RAG pipeline from a data source using natural language.
   • Chunk Viz - This is a tool to visualize how different text splitters chunk up text(데모 사이트)
   • ChatGPT-Comparison-Detection Project 🔬
   • llamafile - 단일 파일로 LLM 배포 및 실행 하기 (github.com/Mozilla-Ocho)
   • SBS D포럼 2023은 "AI시대, 다시 쓰는 경제 패러다임"
   • How AI could lead to a better understanding of the brain
   • Spring AI - The Spring AI project aims to streamline the development of applications that incorporate artificial intelligence functionality without unnecessary complexity.
   • Design Patterns for Machine Learning Based Systems with Human-in-the-Loop
   • LLMs in real-world projects
   • Sketch Video Synthesis
   • StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter
   • GPT 찍먹해 본 이야기 - SRE Oncall Assistant를 만들어 보자
   • Introduction to Machine Learning(10-315, Spring 2019) by Carnegie Mellon University
   • GN⁺: OpenAI, 커스텀 GPT 스토어 출시를 2024년 초로 연기 (axios.com)
   • Dolphins: Multimodal Language Model for Driving
   • The AI Battlefield Engineering - What You Need To Know
   • SeamlessExpressive - Create translations that follow your speech style
   • Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
   • LLM Visualization
   • LlamaIndex Full-Stack Projects
   • Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation
   • GN⁺: LLM 시각화(Visualization) (bbycroft.net)
   • Marker - PDF를 마크다운으로 변환하는 오픈소스 (github.com/VikParuchuri)
   • But how good are multi-modal models at this task? 🖼️🧐
   • Multimodal-Maestro gives you more control over large multimodal models to get the outputs you want.
   • Steamlit Chatbot Pack - Build a chatbot powered by LlamaIndex that augments an LLM with the contents of Snowflake's Wikipedia
   • OpenCopilot allows you to have your own product's AI copilot.
   • CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation
   • unsloth - 2-5x faster 60% less memory local QLoRA finetuning
   • GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation
   • The Observe-Orient-Decide-Act (OODA) Loop and Prompting Patterns.
   • GN⁺: Meta, Seamless Communication 모델 패밀리 발표 (ai.meta.com)
   • “생성형 AI, 비즈니스용으로 점점 더 부정확·불투명”… 스탠퍼드 外 연구 결과
   • Show GN: Noiselith - Stable Diffusion XL 을 로컬에서 쉽게! (noiselith.com)
   • AWS, 기업용 생성형 AI 서비스 아마존 Q 발표…MS 코파일럿 겨냥한 듯
   • Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning
   • Awesome Deep Vision - A curated list of deep learning resources for computer vision, inspired by awesome-php and awesome-computer-vision.
   • Is Facebook's "Prophet" the Time-Series Messiah, or Just a Very Naughty Boy?
   • DALL·E Party (dalle.party)
2. 하드웨어
   • Firmware key extraction by gaining EL3
   • Leica, the German maker of elegant but absurdly-expensive cameras, just released the M11-P. The most interesting thing about it is a capability whose marketing name is “Content Credentials”, based on a tech standard called C2PA (Coalition for Content Provenance and Authenticity)
   • "데이터센터용 GPU 시장, 2032년까지 연간 28.5% 성장" GMI 전망
   • Microsoft is finally making custom chips — and they’re all about AI
   • Arm Pushes AI into the Smallest IoT Devices with Cortex-M52 Chip
   • "AI 슈퍼컴퓨터 시장, 2028년까지 22% 성장"
   • 2024년, 윈도우 12와 AI CPU 4파전 가능성
   • GN⁺: 바르셀로나 슈퍼컴퓨팅 센터, 새로운 오픈소스 RISC-V 칩 'Sargantana' 발표 (bsc.es)
   • Building a LEGO-powered Submarine with automatic depth control
   • Engineers Working to Resolve Issue With Voyager 1 Computer
   • 애플vs삼성vs구글 "손안의 AI, 1등은 나야나!"
   • Whisper로 비교한 Nvidia 4090과 M1/M2/M3 with MLX (owehrens.com)
   • AMD, 엔비디아 견제 나선다··· AI 가속기 '인스팅트 GPU' 공식 출시
   • 구글의 픽셀 계획을 암시하는 4개의 단어
   • 클라우드 넘어 온디바이스 AI 주목...관련 업계 행보 꿈틀
   • 엔비디아 추격하는 AMD, 신규 AI용 반도체 공개
   • 퐁당퐁당 서버 담근다··· ‘액침 냉각’ 주류화에 쏠리는 관심
   • “나에게 맞는 제품, 어떤 기준으로 골라야 할까?” 애플 펜슬 3종 비교 분석
   • 딥엘, 전 세계 가장 빠른 슈퍼컴퓨터 시스템 톱500 중 34위...연산 능력, 21.85 페타플롭스
   • “서버 판매량 여전히 저조…매출은 오히려 증가” 옴디아
   • LLM, 추천 시스템 및 GNN을 위한 하나의 거대한 슈퍼칩: NVIDIA GH200 NVL32
   • GPT4 was presumably trained for around 90 days using 25k A100 GPUs. Microsoft and Meta having reportedly bought 150k H100 GPUs each this year, can now train a GPT4 class model in only 7 days from scratch (not even including their existing GPU stockpile).
   • 애플 M1 맥이 그렇게 빠른 이유
   • 세그웨이 나비모우 | 정원 관리 ‘궁극의 꿈’ 실현한 잔디깎기 로봇
   • 2024년 네트워크 관리에 일어날 수 있는 좋은 일
3. 읽을거리
   • Crispr gene editing shown to permanently lower high cholesterol
   • How open-source drug discovery could help us in the next pandemic
   • "쿠팡도 직격탄"…불황에 우르르 몰려간 '모바일 앱' 뭐길래
   • 최악 땐 2026년 출산율 0.6명도 깨진다…출생아 10만명 붕괴 가능성
   • [단편] 신뢰의 도약
   • '인앱결제 강제' 앱스토어 모델, 결국 무너지나 | 구글 패소+EU 디지털시장법' 위협적
   • [세이노 칼럼 단독 공개] ‘세이노의 가르침’ 못다 한 이야기
   • GN⁺: 2024년에 공공 도메인에 들어갈 작품들 (publicdomainreview.org)
   • [찰리 멍거 특집 1] 오판의 심리학
   • [박진영의 사회심리학] 오늘 할 일의 70%라도 해냈다면 성공했다고 기뻐하자
   • [최원호의 독일버스이야기 #002] 면허 시험, 도로주행, 자격증 시험까지
   • 저축도 재능이다. 지금 당장 끊어야 할 과소비 습관
   • 1인가구 60%는 年3000만원도 못벌어
   • 쪼그라든 가구당 순자산… 집값하락 여파 빚더미만 쌓였다
   • 자식에게 기대던 시대에서 셀프 부양의 시대로[서영아의 100세 카페]
   • 수도권 출퇴근 계산기
   • 내 ‘출퇴근 체감비용’은 얼마일까…강남 출근길, 고양-김포 月40만원 차이

(보너스: “Use LLMs as a reasoning engine to process information, rather than using it as a source of memorized information” Great tip by Andrew Ng. via @omarsar0)

EOB