(오늘의 짤방: Make a ML Engineer cry with just one screenshot. via @_nateraw)
- 빅데이터/인공지능
- Do Cruise’s AVs brake-check other drivers? Feds are investigating
- Generative Problem Solving with Large Language Models
- XG부스트와 인플럭스DB로 시계열 예측하기
- Google destroys AI generated content rankings
- MLOps Needs a Better Way to Manage GPUs
- “인텔리전트 오토메이션 일상화로 ROI 20배 달성” AT&T CDO 마크 오스틴의 노하우
- Failed ML Project - How bad is the real estate market getting?
- How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources
- Illustrating Reinforcement Learning from Human Feedback (RLHF)
- Meta researchers create AI that masters Diplomacy, tricking human players
- Wayve's End-to-End Deep Learning Model for Self-Driving Cars
- 최신 데이터 인프라를 위한 새로운 아키텍처 2.0 (future.a16z.com)
- ChatGPT로 주차 과태료 이의제기 메일을 작성해서 취소에 성공 (notesbylex.com)
- Why hasn’t technology disrupted higher education already?
- Features Part 1: Are Features the New Data?
- 자율주행 레벨 3의 서막 ‘ISO 5083’
- [GN#179] ChatGPT가 바꾸고 있는 것들
- The GPT-3 Architecture, on a Napkin
- What's Wrong with Social Science and How to Fix It: Reflections After Reading 2578 Papers
- gpt-commit-summarizer - GPT based tool that writes the commit message for you
- Tesla says its self-driving technology may be a ‘failure’ — but not fraud
- Awesome ChatGPT Prompts
- What Causes Alzheimer’s? Scientists Are Rethinking the Answer.
- Choosing a good chart: 약식 번역본
- 컴퓨터 비전에 노코드를… 구글의 ‘버텍스 AI 비전’ 속속들이 살펴보기
- ‘파이썬’이 비즈니스 애널리스트에게 주목받는 이유
- ChatGPT just built my entire app in minutes...
- Announcing Bumblebee: GPT2, Stable Diffusion, and more in Elixir
- AlphaCode Attention Visualization
- 여전히 ‘21세기 가장 섹시한 직업’일까? 데이터 과학자들이 '탈출'하는 이유
- 챗GPT 리뷰 | AI 챗봇의 눈부시고 위협적인 미래를 엿보다
- 콘텐츠 랭킹(추천) 서비스를 플랫폼으로 만들기 in Go (reddit.com)
- Introducing codeium - The modern coding superpower.|
- AI assisted learning: Learning Rust with ChatGPT, Copilot and Advent of Code
- 네이버‧카카오, ‘욕설‧비속어’ 통합 DB API 공개 (kiso.or.kr)
- Building an interpreter for my own programming language in ChatGPT (and solving AoC 2022 with it!)
- Building A Virtual Machine inside ChatGPT
- A Guide On How To Become A Data Scientist - (Step By Step Approach)
- PyTorch 2.0 news
- AI 이미지 생성 서비스가 마이크로소프트 365 안으로
- ‘클라우드도 AI 경쟁 시대?’…AWS, 리인벤트서 AI 결합한 서비스 다수 공개
- '모델옵스'가 예방할 수 있는 ML 모델의 '패착' 5가지
- Getting to Know Deep Java Library (DJL)
- New – Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP
- Statistical vs Deep Learning forecasting methods
- 신보, 기업 빅데이터 전용 포털 ‘BASA’ 오픈
- 베이지안 통계를 한다는 것은 - 확률에 대한 확률
- AWS Unveils New AI Service Features and Enhancements at re:Invent 2022
- Goodbye, Data Science
- 무신사 데이터로 분석한 의류 사이즈 (feat.프리사이즈)
- NopeCHA - AI for automatic CAPTCHA recognition
- How AI Will Completely Dominate the Animation Industry In Less Than 5 Years
- Summary: Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science
- First Open Source Copyright Lawsuit Challenges GitHub Copilot
- KnowGL: Knowledge Generation and Linking from Text
- What-the-Diff - Your AI-powered code review assistant
- Moore's Law for Everything
- Google Introduces New Metrics for AI-Generated Audio and Video Quality
- Dropbox Predicts What File You Need Next with Content-Specific ML Pipelines
- logz.io Releases Feature to Automatically Identify Patterns within Log Data
- Deep Java Library: New Deep Learning Toolkit for Java Developers
- Facebook Releases AI Code Search Datasets
- “알렉사 100억 달러 적자 예상” 최후의 날 가까운 디지털 가상 비서
- Why writing by hand is still the best way to retain information
- [독서광] AI 슈퍼파워(본인이 쓴 글)
- 아르헨티나 격침시킨 AI 판독, 축구 흐름도 바꿀까
- Amazon Alexa is a “colossal failure,” on pace to lose $10 billion this year
- AWS Lambda를 이용한 XGBoost 머신러닝(ML) 추론하기
- FILM: Frame Interpolation for Large Motion (film-net.github.io)
- Data Science Collected Resources
- Python Machine Learning Projects (PDF)
- Building arbitrary Life patterns in 15 gliders
- 하드웨어
- 블록체인과 메타버스
- 읽을거리
보너스: How OpenAI ChatGPT helps software development! via @PR0GRAMMERHUM0R
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