- 빅데이터/인공지능
- 엔비디아, '금융 서비스의 AI 현황' 발표
 - 챗GPT는 애플 비즈니스 챗의 종말을 말하는 것일까?
 - EP 44: How does ChatGPT work?
 - From Zero to Research Scientist 가이드 (github.com/ahmedbahaaeldin)
 - Automatisch - 워크플로우 자동화 도구 Zapier의 오픈소스 대체제 (automatisch.io)
 - Data Science and Machine Learning - Mathematical and Statistical Methods
 - 31 Datasets For Your Next Data Science Project
 - t-SNE Machine Learning Algorithm — A Great Tool for Dimensionality Reduction in Python
 - Types of Machine Learning Interviews and how to ace them
 - ‘문턱 낮아진다’ 중소기업도 초대받는 BI·애널리틱스 잔치
 - ‘직원 6,000명, AI가 응대한다’ 사내 헬프데스크에 AI 봇 도입한 美 화학기업
 - 챗GPT에 없지만 새로운 빙 검색에 있는 것은? ‘답변의 출처’
 - 검색엔진이 수다스러워진다··· MS, 빙(Bing)에 AI 챗봇 통합
 - 마이크로소프트, ChatGPT 통합한 새로워진 ‘빙’ 공개…엣지에도 AI 적용
 - Microsoft Bing Chat의 전체 프롬프트 유출 (twitter.com/kliu128)
 - 7 ways to use ChatGPT at work to boost your productivity, make your job easier, and save a ton of time
 - Amazon SageMaker JumpStart를 통해 다양한 생성 AI 모델 활용하기
 - ChatGPT Is a Blurry JPEG of the Web
 - GPT in 60 Lines of NumPy
 - How to use AI and machine learning to personalize and optimize campaigns
 - What learning algorithm is in-context learning? Investigations with linear models
 - Building explainability into the components of machine-learning models
 - Microsoft announces AI-powered Bing search and Edge browser
 - Andrej Karpathy, OpenAI로 복귀 (twitter.com/karpathy)
 - Runway, 비디오 생성형 AI "Gen-1" 공개 (research.runwayml.com)
 - 구글, 검색 결과에서 Explicit 이미지는 흐리게 처리할 예정 (theverge.com)
 - In Paris demo, Google scrambles to counter ChatGPT but ends up embarrassing itself
 - Five GPT-3 based APIs for your next side project. Thread 🧵👇
 - Img2Prompt - Stable Diffusion으로 생성한 이미지에서 프롬프트 유추하기 (img2prompt.io)
 - Microsoft will let companies create their own custom versions of ChatGPT, source says
 - Let me show you the "exact path" to becoming a Professional Data Analyst & get Certified.
 - 구글 AI 챗봇 Bard의 답변 내용 오류로 알파벳 주식 폭락 (reuters.com)
 - There are hundreds of machine learning algorithms out there. But you only need a few. Here are 9 of the most useful choices:
 - Is Google’s 20-year dominance of search in peril? ChatGPT-like tools could disrupt a lucrative business
 - From GPT3 to ChatGPT (and Beyond)
 - Solving a machine-learning mystery
 - How Causal AI is Reshaping the World
 - A Simple Guide on AI Text Prompts: Tell the AI Exactly What You Want to See
 - This project summarizes TechCrunch articles for you using AI.
 - SQL should be your default choice for data engineering pipelines
 - Has Progress on Data, Analytics, and AI Stalled at Your Company?
 - BIG DATA IS DEAD
 - Microsoft announces new Bing and Edge browser powered by upgraded ChatGPT AI
 - Open Assistant is a project meant to give everyone access to a great chat based large language model.
 - openai-to-sqlite - This tool provides utilities for interacting with OpenAI APIs and storing the results in a SQLite database.
 - GoogleChatGPT is an innovative and user-friendly chrome extension that combines the power of Google web search with the knowledge of ChatGPT.
 - 챗GPT는 어떻게 학습되었을까 - Human Feedback Reinforcement Learning (RLHF)
 - Choosing a Baby Name Using Python
 - Learn Prompting - A Free, Open Source Course on Communicating with Artificial Intelligence
 - Maroofy - AI로 비슷한 음악 찾기 (maroofy.com)
 - AI, 이번엔 다릅니다 – 스타트업 vs 기존 기업 (번역) (ebadak.news)
 - Gradient Descent With AdaGrad From Scratch
 - HUMATA.AI - Ask AI anything about your files
 - Storing OpenAI embeddings in Postgres with pgvector
 - How to build Google-like AI-powered search using Python in 15 minutes? (A thread) 👇🧵
 - Filechat is the perfect tool to explore documents using artificial intelligence. Simply upload your PDF and start asking questions to your personalized chatbot.
 - Simpson’s Paradox and Interpreting Data
 - Man and machine: GPT for second brains
 - An important next step on our AI journey
 - How to Calculate Feature Importance With Python
 - Universal Summarizer - 모든 것을 요약해드립니다 (labs.kagi.com)
 - 인스타그램 공동창업자 "TikTok for Text" Artifact로 돌아오다 (theverge.com)
 - Prompt Engineering Guide
 - 📖KnowledgeGPT - Accurate answers and instant citations for your documents.(데모(Open AI key 필요)
 - Reverse Engineered ChatGPT API by OpenAI. Extensible for chatbots etc.
 - The Gradient Descent Algorithm and its Variants
 - A Beginner-Friendly Introduction to MLOps
 - Machine learning roadmap: 5 Steps to a successful career
 - realtime color detection using Python
 - Is the Answer to Your Data Science Needs Inside Your IT Team?
 - Getty Images v. Stability AI – Complaint
 - Three Levels of ML Software
 - 3 ways to deal with large datasets in Python
 - South Korea: 데이터 크롤링의 한국법상 허용기준
 - GPT-3로 자동으로 Anki 덱을 만들어주는 크롬 확장 (github.com/AndrewJudson)
 - Adopting AutoML: Let’s do a reality check
 - Deep understanding of the ARIMA model
 - Solving the cube root of 19,683 mentally
 - ChatGPT Passes Google Coding Interview for Level 3 Engineer With $183K Salary
 - Exclusive Q&A: John Carmack’s ‘Different Path’ to Artificial General Intelligence
 - 구글, 챗GPT 경쟁사 앤트로픽과 동맹...3억달러 투자
 - 오픈AI, AI 창작물 탐지 툴 출시…”아직 신뢰 못해”
 - “지연 없이 즉시 대화” ChatGPT '월 20달러' 요금제 나온다
 - ChatGPT의 시대, ML옵스 인재가 필요하다
 - “텍스트를 음악으로” 구글, 설명 듣고 작곡하는 MusicLM 발표
 - 아무도 알려주지 않는 ChatGPT에 대한 놀라운 사실 6가지
 - “오픈AI GPT-3.5 접목” MS 팀즈 프리미엄 출시
 - 클라우드서 GPT-3.5 쓴다, ‘애저 오픈AI(Azure OpenAI)’ 시작하기
 - “챗GPT, 곧 사이버 공격 대량생산에 쓰일 것” 영국 IT 의사결정자 경고
 - "침대 누워있죠? 제가 카메라 설치했어요" AI챗봇 소름 문자 [팩플]
 - I trained an AI model on 120M+ songs from iTunes
 - 구글 CEO, "곧 ChatGPT 라이벌이 검색 기능에 ‘Companion’으로 추가될 예정" (bloomberg.com)
 - Transformer Grammars are Transformer-like models of the joint structure and sequence of words of a sentence or document.
 - Estimating Square Roots in Your Head
 - Here’s Who Is Really Making Billions From ChatGPT
 - Microsoft Teams Premium: Cut costs and add AI-powered productivity
 - ChatGPT Cheat Sheet (drive.google.com)
 - Introducing ChatGPT Plus
 - 모든 것의 네트워크와 모든 것의 전이학습 - 기계학습 연구가 발견한 인간 학습의 방법론 7가지
 - OY, A.I. BY JARON LANIER
 - Do more with OpenAI (ChatGPT) integrations by Zapier
 - Gos: a declarative library for interactive genomics visualization in Python
 - ‘모두를 위한 AI’ 시대 여는 ‘카카오 i 머신러닝’ 출시
 - How to visualise different ML models using PyCaret for optimization?
 - This repository contains the implementation of BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining,
 - 신경망 개발을 밑바닥부터 코딩하며 배우기
 - Multion - A ChatGPT agent that can control the browser and do tasks for you!
 - Big Tech was moving cautiously on AI. Then came ChatGPT.
 - 7 of the Most Used Feature Engineering Techniques
 - 🔥 PyChatGPT
 - My journey from R to Julia
 - Probability for machine learning
 - 💥 An amazing overview of ChatGPT!
 - ML Papers Explained
 - Diff Models – A New Way to Edit Code
 - Colorful ASCII Christmas Tree in C# by ChatGPT
 - Adventures in generating music via ChatGPT text prompts
 - London-based Flawless AI’s ‘True Sync’ tech is a revolutionary approach to film dubbing
 - My AI Safety Lecture for UT Effective Altruism
 - The ChatGPT chatbot from OpenAI is amazing, creative, and totally wrong
 - AI assisted learning: Learning Rust with ChatGPT, Copilot and Advent of Code
 - Large language models help decipher clinical notes
 - Why XetData?
 - ave I Been Trained? - Search 5.8 billion images used to train popular AI art models
 - How AI-generated text is poisoning the internet
 - DeepMind’s AlphaCode Conquers Coding, Performing as Well as Humans
 - Semi-automated offside technology to be used at FIFA World Cup 2022™
 - What is the “forward-forward” algorithm, Geoffrey Hinton’s new AI technique?
 - How to... use AI to teach some of the hardest skills
 - A Better Developer Experience Requires Better Testing Tools
 - BuzzFeed says it will use AI tools from OpenAI to personalize its content
 - Scalable Annotation Service — Marken
 - Just know stuff. (Or, how to achieve success in a machine learning PhD.)
 - ML paper podcast generator using GPT and Tortoise-TTS
 - AI-powered summaries for YouTube videos
 - Natural language is the lazy user interface
 - 최고 AI 책임자가 뜬다? ‘10억 달러짜리 두뇌’가 제시하는 미래
 - “AI 품은 윈도우” MS가 그리는 미래 AI 시대
 - “나는 누구인가?” ChatGPT가 말하는 ChatGPT
 - 머신러닝 스타일 : 인공 신경망과 작동 원리, 함수 구조
 - Machine Learning for Beginners: An Introduction to Neural Networks
 - 챗봇 만드는 사람이 공부해 본 'chatGPT란?'
 - “챗GPT, 게임 기획 좀 해 봐” ①
 - ImaginAIry - AI로 이미지 수정하기 (github.com/brycedrennan)
 - Simple 4-part explainer on how to query a PDF (or a set of PDFs) using GPT-3
 - GPT is all you need for the backend
 - Neural Networks : Zero to Hero - 신경망 개발을 밑바닥 부터 코딩하며 배우기 (karpathy.ai)
 - Doordash Introduces ML to Understand the Marketplaces Status
 - ChatGPT로 Gmail 스팸 필터 우회하기 (neelc.org)
 - Let's build GPT: from scratch, in code, spelled out.
 - FMS(차량 관제 시스템) 데이터 파이프라인 구축기 1편. 스트리밍/배치 파이프라인 개발기
 - Welcome to the jungle, we got fun and frames
 - 딥러닝을 위해 어떤 GPU를 골라야 할까? (timdettmers.com)
 - How Facebook encodes your videos
 - SAI #14: Data Latency in ML Systems.
 - let Copilot decide
 - Google Research, 2022 & beyond: Language, vision and generative models
 - Who Owns the Generative AI Platform?
 - Building Neural Networks with TensorFlow.NET
 - CodeGPT: The VSCode Extension with ChatGPT-Like Functionalities
 - The Exploited Labor Behind Artificial Intelligence
 - Let's build GPT - GPT를 밑바닥부터 만들어 봅시다 [유튜브 영상] (youtube.com)
 - Natural Language Playlist - AI generated mixtapes!
 - ChatRWKV is like ChatGPT but powered by my RWKV (100% RNN) language model, which is the only RNN (as of now) that can match transformers in quality and scaling, while being faster and saves VRAM.
 - Exclusive: OpenAI Used Kenyan Workers on Less Than $2 Per Hour to Make ChatGPT Less Toxic
 - ‘AI로 진열대 재고 실시간 파악’ 구글 클라우드, 온·오프라인 커머스용 신기능 발표
 - 인사 담당자가 AI 봇? 인공지능으로 채용 강화하는 기업들
 - How-To : 애플 기기에서 ‘귀찮은’ 캡차를 안전하게 우회하는 방법
 - 게티이미지, AI 이미지 생성기 스테이블 디퓨전 개발사 고소…“저작권 침해” 주장
 - "톰 행크스부터 빌 클린턴까지" 음성 AI 모델링의 한계는 어디까지?
 - AI 챗봇 ChatGPT가 해커들의 조력자가 되는 과정과 대비책
 - Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning
 - Generative AI and The Future of Work
 - 95% of ML tutorials: ...
 - How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking - OpenAI Triton And PyTorch 2.0
 - Linear programming with Python and Julia
 - General availability of Azure OpenAI Service expands access to large, advanced AI models with added enterprise benefits
 - Precise Zero-Shot Dense Retrieval without Relevance Labels
 - Interactive Linear Algebra
 - 💡 Curve-fitting methods and their messages!
 - 3 Principles for prompt engineering with GPT-3
 - 7 ways ChatGPT can 10x your programming productivity:
 - Why TensorFlow for Python is dying a slow death
 - ChatGPT-Prompts - ChatGPT prompts for programming
 - A PyTorch Tools, best practices & Styleguide
 
 - 하드웨어
- “하드디스크 고장률 가장 낮은 제품은 웨스턴 디지털”
 - Apple’s 2½ year old iPhone 12 is 6% faster than the latest Samsung Galaxy S23 Ultra for single-core performance
 - 삼성 SSD의 안정성에 대한 업데이트 (pugetsystems.com)
 - Ghost Boat with Garmin GPS Leads Father-Son Duo to Man Overboard
 - “작은 차이가 워크플로우와 가격을 결정한다” M2 프로 vs. M2 맥스 비교 분석
 - How AMD killed the Itanium
 - “A에서 M, 프로, 맥스, 울트라까지” 모든 애플 실리콘 성능 비교 가이드
 - “개인 방송 기기를 업무 회의용으로?” 마이크로소프트, 엘가토 스트림 덱 전용 ‘팀즈’ 플러그인 공개
 - On microcode
 - Burning a NeXTCube (1993)
 - 인텔, 2022년 4분기 두 자릿수 매출 급감
 - Is there any difference between front and back USB ports?
 - Bell Telephone Launched a Mobile Phone During the 1940s: Watch Bell’s Film Showing How It Worked
 - How a CPU works: Bare metal C on my RISC-V toy CPU
 - Reverse-engineering the conditional jump circuitry in the 8086 processor
 - 애플, 창립 40주년 맞아 애플 '리사' 소스코드 공개
 - WiFi Routers Used to Produce 3D Images of Humans
 - ECC RAM should be a human right
 - HDD 판매가 급감한 반면, 테이프 저장장치 판매는 급증
 - Open Circuits : 전자 부품들의 내면의 아름다움 [책] (opencircuitsbook.com)
 - 앙카 나사가 고정되는 방식
 - Everyone says the Intel 8086 processor has 29,000 tiny transistors. But I counted and found 19,618. Why the difference? It turns out that most counts include "potential" transistors as well as real ones. Let's take a look and find out why.🧵
 
 - 블록체인과 메타버스
- Kraken to end on-chain staking services for U.S. clients
 - What is a Virtual World and Who is Going to Build It? (Part 1)
 - 100억짜리 그림 1000원씩 쪼개서 거래…한도 제한해 투자자 보호
 - 금융위, STO 가이드라인 발표…증권성 판단 원칙 공개
 - WE’VE LOST THE PLOT
 - THE INDUSTRIAL METAVERSE: A GAME-CHANGER FOR OPERATIONAL TECHNOLOGY
 - "접속자 달랑 한 명 뿐"…골칫덩이 전락한 '메타버스'
 - 마이크로소프트, 가상 및 혼합 현실 사업 정리
 - 서울형 메타버스? 오세훈 시장은 세금으로 무엇을 만들고 있나
 - 테더 "2022년 총 결제액 18조2000억…비자·마스터카드보다 높아"
 
 - 읽을거리
- (신영증권) 인구론 보고서
 - “은행의 진짜 걱정? 존재감 상실” 전 체이스페이 책임자가 말하는 은행의 딜레마
 - The $20 an hour Cessna 172 experiment
 - 애플페이가 온다…"밴 및 카드사 타격 불가피"
 - ‘As bad as it gets without body bags.’
 - 우리나라 중산층의 현주소와 정책과제
 - 컬리의 흑자는 과연 결정의 문제일까?
 - The United States Frequency Allocation Chart
 - A Cold War mystery: Why did Jimmy Carter save the space shuttle?
 - Steamships, Part I: Crossing the Atlantic
 - 성공하는 13가지 방법
 - An obituary for the man who saved North Carolina from nuclear disaster
 - [술독 안 우리술] 인터넷으로 살 수 있는 술, 인터넷으로 사지 못 하는 술
 - Call of the Void: Seven years on, what do we know about the disappearance of Malaysia Airlines flight 370?
 - 점보기는 2층데크를 왜 만들다 말았을까? - 보잉747 이야기
 - 1/n The Feynman Technique is a powerful method for learning and understanding complex concepts in physics and other fields. Named after physicist Richard Feynman, the technique helps to break down difficult concepts into simple, easy-to-understand language.
 - 10 Great Websites To Download Movie Scripts
 - NRC Certifies First U.S. Small Modular Reactor Design
 - EVERYTHING EVERYWHERE ALL AT ONCE screenplay
 - Even a Little Alcohol Can Harm Your Health
 - Flying High
 - 도미노피자가 배달 플랫폼에 올라타지 않는 까닭은
 
 
토요일, 2월 11, 2023
[B급 프로그래머] 2월 소식(빅데이터/인공지능, 하드웨어/블록체인, 읽을거리 부문)
오늘의 짤방: ML diagram via @DataScienceDojo
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