오늘의 짤방: 에어비엔비체 뚫림 via @ysmdev
- 빅데이터/인공지능
- Introduction to Data-Centric AI
 - Meta unveils a new large language model that can run on a single GPU
 - 챗GPT로 자소서 써보니... “78%, 서류 합격했다”
 - Machine Learning Notebooks, 3rd edition
 - LMOps is a research initiative on fundamental research and technology for building AI products w/ foundation models, especially on the general technology for enabling AI capabilities w/ LLMs and Generative AI models.
 - 마이크로소프트, 빙 AI 챗봇 질문 허용 개수 소폭 확대…답변 결과는 아직 ‘평범’
 - Neptyne - AI와 파이썬으로 프로그래밍 가능한 스프레드시트 (neptyne.com)
 - “생성형 AI가 로봇 패러다임도 바꾼다” MS, 로봇에 ChatGPT 적용 연구
 - AI를 이용해 무료로 나만의 미술 작품을 만드는 방법
 - “생성형 AI의 현주소” 주요 생성형 AI 서비스 둘러보기
 - AI에게는 여전히 인간의 전문성이 필요하다
 - “고객 지원 기능에 챗GPT 적용해보니..." 인터콤 머신러닝 디렉터
 - Scribble Diffusion - 스케치를 세련된 이미지로 바꾸기 (scribblediffusion.com)
 - “광고 및 데이터 추적 없는” 구글 출신이 만든 AI 검색 엔진 ‘니바’
 - ResearchGPT - 오픈소스 LLM 기반 연구 도우미 (github.com/mukulpatnaik)
 - Find & Save the best AI tools Everyday
 - ChatGPT: Jack of all trades, master of none
 - FlexGen is a high-throughput generation engine for running large language models with limited GPU memory
 - Here are just a few of the ways that we found Copilot useful...🧵
 - Don't believe ChatGPT - we do NOT offer a "phone lookup" service
 - AI‘s Instagram Problem
 - For tech giants, AI like Bing and Bard poses billion-dollar search problem
 - Meet Bunchee, your AI assistant coach in training powered by Bunch x GPT-3!
 - AI툴 + 노코드로 랜딩페이지 만들기 (samdickie.me)
 - Spring Boot OpenAI Bot
 - PyGWalker: A Python Library for Exploratory Data Analysis with Visualization
 - OpenAI is Rolling out ChatGPT Plus as a Premium Service
 - We employed ChatGPT as an ML Engineer for a day. This is what we learned.
 - 한국식 발명품 ‘가명정보’에 법원이 제동 건 이유 (ft. 가명처리)
 - Multimodal Chain-of-Thought Reasoning in Language Models
 - Multimodal Chain-of-Thought Reasoning in Language Models
 - [2월 월간 브리핑] 한국어 자연어 처리(NLP) 오픈소스 프로젝트
 - GPT for Slides
 - The AI search engine for developers.
 - FlexGen - ChatGPT 같은 LLM을 싱글 GPU에서 운영하기 (github.com/FMInference)
 - A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
 - How I became a machine learning practitioner
 - 지하철 노선도는 왜 조금씩 다를까?
 - 번역 모델 비교 - 성능, 시간, 요금
 - Man beats machine at Go in human victory over AI
 - GPTZero Case Study (Exploring False Positives)
 - “이사람 인간 맞아? 수상한데”...인공지능과 바둑 15전14승
 - Talk-to-ChatGPT is a Google Chrome extension that allows users to talk with the ChatGPT AI using their voice (speech recognition), and listen to the bot's answer with a voice (text-to-speech), rather than just by typing.
 - Amazon SageMaker Examples - Example Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using Amazon SageMaker.
 - Considerations for Deploying Machine Learning Models in Production
 - “챗GPT, 곧 복잡한 법리 분석도 해낼 것”
 - The definitive guide to adversarial machine learning
 - calligrapher - Realistic computer-generated handwriting
 - What is reinforcement learning from human feedback (RLHF)?
 - DeepMind’s CEO Helped Take AI Mainstream. Now He’s Urging Caution
 - Deep Learning Tuning Playbook
 - Meet Claude: Anthropic’s Rival to ChatGPT
 - Reverse Engineering a Neural Network's Clever Solution to Binary Addition
 - Creating a Text Adventure Game with ChatGPT
 - Got It AI creates truth checker for ChatGPT ‘hallucinations’
 - nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
 - This notebook will guide you through the basics of Petals — a system for inference and fine-tuning 100B+ language models without the need to have high-end GPUs.
 - petals - Generate text using distributed 176B-parameter BLOOM or BLOOMZ and fine-tune them for your own tasks:
 - PromptArray: A Prompting Language for Neural Text Generators
 - Google AI Introduces Muse: A Text-To-Image Generation/Editing Model via Masked Generative Transformers
 - VALL-E - Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
 - Introducing AWS AI Service Cards: A new resource to enhance transparency and advance responsible AI
 - BLOOM 176B — how to run a real LARGE language model in your own cloud?
 - 🌸Introducing The World’s Largest Open Multilingual Language Model: BLOOM🌸
 - SkyPilot is a framework for easily and cost effectively running ML workloads1 on any cloud.
 - Analyzing ChatGPT Backend
 - Scribble Diffusion
 - Machine Learning Model Deployment — A Simple Checklist
 - Educator considerations for ChatGPT
 - 🦜️🔗 LangChain.js - ⚡ Building applications with LLMs through composability ⚡
 - Data preprocessing steps...
 - Compositional Exemplars for In-context Learning
 - Compositional Exemplars for In-context Learning
 - Microsoft shocks developers by increasing the pricing of Bing Search APIs by up to 10x
 - “안전하게 활용하고 공유한다” 데이터 클린룸에 관해 알아야 할 것 (1)
 - “안전하게 활용하고 공유한다” 데이터 클린룸에 관해 알아야 할 것 (2)
 - “기업 고객 공략 가속화” 깃허브, AI 코딩 도구 ‘코파일럿’ 성능 및 보안성 개선
 - ‘하나만 알려줘도 열을 안다’ 생성 AI의 학습 방식, 제로샷·퓨샷 러닝
 - “일반 검색보다 5배 많은 전기 사용” 생성형 AI가 기후에 미치는 영향
 - "검색 엔진인가, 답변 엔진인가?" 속도와 정확성이 지니는 의미
 - À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting
 - 빙과 ChatGPT, 인종차별로 오염된 챗봇 테이의 전철 밟나?
 - MS와 구글 ‘검색 전쟁’의 막이 올랐다
 - 나는 의심한다··· 빙(Bing), 바드(Bard) 그리고 90% 문제
 - 인공지능 전문 변리사가 공개하는 'AI 기술 보호' 가이드와 주의사항은?
 - “생성형 AI의 파도가 몰려온다” 가트너, 낙관적 전망과 5대 사용례 제시
 - 검색 결과에 이미지 추가한 You.com "텍스트 채팅에만 갇히지 않아"
 - 생성형 AI 대유행과 노이즈 캔슬링 기술
 - How should AI systems behave, and who should decide?
 - Awesome ChatGPT Prompts
 - Fine-tuning a BERT model, mixed-precision can 4x training speed.
 - Lecture 11: Prompting, Instruction Finetuning, and RLHF
 - 개발자는 ChatGPT 이렇게 활용하면 좋습니다
 - Machine learning basics
 - Mathematics for Machine Learning
 - Attention Is All You Need
 - DeepMind, AlphaGo와 AlphaZero의 핵심을 오픈소스로 공개 (twitter.com/DrJimFan)
 - What Is ChatGPT Doing … and Why Does It Work? (by Stephen Wolfram)
 - DALL·E, GPT-3, Midjourney, Stable Diffusion, ChatGPT Prompt Marketplace
 - Reading vs Watching Videos: What Science Says
 - Sorting 400+ tabs in 60 seconds with JS, Rust & GPT-3: Part 1
 - 최고 성능의 한국어 형태소 분석기 「바른」을 무료로 사용해 보세요.
 - The Capacity for Moral Self-Correction in Large Language Models
 - Forget Milk and Eggs: Supermarkets Are Having a Fire Sale on Data About You
 - Study Suggests Fructose Could Drive Alzheimer's Disease
 - Transformer models: an introduction and catalog
 - If you want to learn Data Science, watch these YouTube videos (start today) 👇👇
 - Prompt Engineering Guide
 - Regarding Tensor Parallelism: how does that work, how can we just split a matrix or tensor across GPUs?
 - Google issues urgent warning to anybody using ChatGPT
 - ChatGPT를 비롯한 대화형 AI 서비스에서 더 좋은 결과물을 얻게 해주는 프롬프트 엔지니어링 (Prompt Engineering)
 - Prompt Engine - This repo contains an NPM utility library for creating and maintaining prompts for Large Language Models (LLMs).
 - Bringing OpenAI into an Outlook add-in: a business mail generator
 - Complete Machine Learning pipeline for NLP tasks
 - From Bing to Sydney
 - Promptable - Build fullstack AI apps in Typescript/Javascript.
 - AI Commits - A CLI that writes your git commit messages for you with AI. Never write a commit message again.
 - Getting AI to Scale
 - WaaS - Whisper as a Service (github.com/schibsted)
 - Prompt Engineer and Librarian
 - The Illustrated Stable Diffusion
 - GitHub Copilot for Business is now available
 - 카카오T, 가까운 택시 놔두고 ‘콜’ 몰아주기…어쩐지 안 잡히더라
 - How does DeepL work?
 - 농심의 Amazon SageMaker를 활용한 원자재 가격예측과 MLOps 여정
 - Inside the Heart of ChatGPT's Darkness
 - Bing AI Can't Be Trusted
 - ‘ChatGPT 기반’ MS 빙 리뷰 | 기존 검색엔진 대체 가능성 보인다
 - Hyperparameter Optimization of Machine Learning Algorithms
 - What Does it Mean to Give Someone What They Want? The Nature of Preferences in Recommender Systems
 - How Well Does Your Company Use Analytics?
 - Difference Between Algorithm and Model in Machine Learning
 - A look back at recent AI trends — and what 2022 might hold
 - What is Deep Learning? Simple Explained
 - From Data Collection to Model Deployment: 6 Stages of a Data Science Project
 - 영어 아티클 아주 빠르게 읽기
 - How to unlock the full value of data? Manage it like a product
 - A guide to Knowledge Graphs
 - Deep Learning and Computational Physics (Lecture Notes)
 - Offsite-Tuning: Transfer Learning without Full Model
 - Offsite-Tuning: Transfer Learning without Full Model
 - Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
 - How to Forecast Time Series Data Using Deep Learning
 - Toolformer: Language Models Can Teach Themselves to Use Tools
 - Why does the SARS-Cov2 coronavirus genome end in aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa (33 a's)?
 - I had ChatGPT write a Decemberists song - And I recorded it. Here's "Sailor's Song."
 - Yusuf Mehdi Demoes New Bing and Microsoft Edge Experience
 - AI검색 비용 경제학으로 구글과 마이크로소프트를 말하다
 - Forecasting with Machine Learning Models
 - This is huge 🚀 Full-text search is now available on the HF Hub - I'm already using it to find hidden gems 💎
 - Data Versioning at Scale: Chaos and Chaos Management
 - DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
 - AI tools you can not miss:
 - Artificial Intelligence for Beginners - A Curriculum
 - ChatGPT, Jasper AI, copy ai… How are AI writers different?
 - Galileo AI creates delightful, editable UI designs from a simple text description. It empowers you to design faster than ever.
 
 - 하드웨어
- “애플, TSMC 3nm 초기 생산분 싹쓸이”⋯아이폰 성능 독주 내년까지 이어질 듯
 - Monitoring My Weather At Home 🌩️
 - 6G Common Requirements
 - Google wants RISC-V to be a “tier-1” Android architecture
 - AMD CPU 시장 점유율 30% 확보, 인텔은 계속 하락중 (wccftech.com)
 - A Practical Tutorial on PCIe for Total Beginners on Windows (Part 1)
 - 테슬라 HW 모델 4 분석
 - Repurposing e-waste: turning a TV set-top box into a Linux computer
 
 - 블록체인과 메타버스
 - 읽을거리
- Tell HN: Do not store any funds in PayPal or use them for anything critical
 - After Alaska Airlines planes bump runway while taking off from Seattle, a scramble to ‘pull the plug’
 - 2023 기술 트렌드: The New Gatekeepers (ben-evans.com)
 - Spy Balloon Simulator - With real atmospheric data
 - [비상장사 리포트] 7년 적자 당근마켓, 몸집은 컸지만 상장까진 험난
 - My class required AI. Here's what I've learned so far.
 - 출구없는 놀이공원
 - How Two Jewish Kids in 1930s Cleveland Altered the Course of American Pop Culture
 - Childhoods of exceptional people
 - PDF전자책과 스마트스토어 부업으로 경제적 자유를 이룰 수 없는 이유 - [특집호] PLC와 경쟁시장의 이해
 - How Our Reality May Be a Sum of All Possible Realities
 - KB부동산시장 리뷰 2023-2호
 - Vinyl Chloride and the Ohio Train Derailment
 - Revenue is easy, profit is harder
 - What’s next for mRNA vaccines
 - 저출생에 4년새 어린이집 8천개 문 닫았다…"인구절벽 체감"
 - Leonardo da Vinci's Forgotten Experiments Explored Gravity as a Form of Acceleration
 - ‘10년이내 폐교전망' 총장마다 제각각...“대학위기보다 더 심각한 총장들의 상황인식”
 - 작년 연말 NHN에서 공개한 2022년 세대별 다운로드 앱 순위
 - Household debt hit record $16.9 trillion last quarter, as consumers loaded up their credit cards
 - 멍거의 직언직설 "연 300% 수익을 올린다면서 책을 왜 파나요?"
 - Where do stolen bikes go?
 - DAU/MAU는 절대 만능이 될 수 없다.
 - 시험공화국의 의외의 장점
 - The big idea: your personality is not set in stone
 - 북한에 철도 매니아 34명이 들이닥친 이야기
 - How Movie VFX Are Made: The 8 Steps of Visual Effects!
 - An old Amiga with ‘Titanic’ miniature shoot ‘video taps’ on it is a treasure-trove of VFX history
 - 달라지는 외환수급…처음으로 본원소득수지가 상품 앞질러
 - South Koreans are the world’s biggest spenders on luxury goods
 - ANOTHER RUSSIAN SPACECRAFT AT ISS HAS A COOLANT LEAK
 - 사용자는 바보가 아니야, 기만적인 기획과 마케팅
 - “Open Source” Seeds Loosen Big Ag’s Grip on Farmers
 
 


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