(오늘의 짤방: I had this hanging on my office door for a couple of years. A nice illustration of how limits do/don't work. via @aryehazan)
- 빅데이터/인공지능
- AI로 무장한 진짜보다 진짜 같은 피싱, ‘챗GPT’의 어두운 그림자
- 자연어처리의 개괄 및 BERT 모델 소개
- Calculus Made Easy
- As a CTO, I'm telling my teams to use ChatGPT in their daily work to increase both velocity and quality.
- 현존하는 최강 챗봇 ChatGPT 개발자맛 심화편 🤖
- Tome - AI를 이용한 슬라이드 스토리텔링 빌더 (tome.app)
- 2023년 관건은 애널리틱스다
- Microsoft’s new AI can simulate anyone’s voice with 3 seconds of audio
- Prompted GPT-3 to rewrite the article "to avoid detection by AI content detection tools"
- 서울대학교의 모두를 위한 AI 강연
- NeevaAI is leading a new frontier of AI search that leverages cutting edge LLMs and an independent search stack to create a unique and transformative search experience.
- Self-serve feature platforms: architectures and APIs
- OpenAI Cookbook - This repository shares example code and example prompts for accomplishing common tasks with the OpenAI API.
- Introduction to Linear Algebra for Applied Machine Learning with Python
- CS 221 ― Artificial Intelligence
- Microsoft announces new supercomputer, lays out vision for future AI work
- Convolutional networks strike back, again.
- GPT3 to support users from your static technical docs
- 2022: A Year Full of Amazing AI papers- A Review 🚀
- Mito: One of the Best Python Libraries For Data Visualization
- 제품 디자인에 ChatGPT를 이용하는 법 : 8가지 실제 사례 (babich.biz)
- MIT Introduction to Deep Learning
- Top Python libraries of 2022
- Why ChatGPT won’t replace search engines any time soon
- The science of why you have great ideas in the shower
- 합성 미디어의 광풍에 가려진 실질적 문제 한 가지
- 지루한 사진을 보면 AI는 왜 '기린이 있다'고 할까?
- AI Platforms like ChatGPT Are Easy to Use but Also Potentially Dangerous
- cbp-translate: Generate Cyberpunk-Like Subtitles
- Burn - Rust로 작성된 딥러닝 프레임워크 (github.com/burn-rs)
- 25+ Machine Learning Projects with Python
- Failed ML Project - How bad is the real estate market getting?
- Generate Images With DALL·E 2 and the OpenAI API
- I compiled a list of my favorite machine learning- and AI-related open-source libraries & releases that I discovered, used, or contributed to in 2022:
- Using Apache Kafka to process 1 trillion inter-service messages
- Machine Learning: A Comprehensive Guide
- 10 techniques to get massively ahead with AI(ChatGPT):
- Microsoft와 OpenAI가 ChatGPT와 통합한 Bing을 작업중 (theinformation.com)
- Introducing PyTorch 2.0
- Muse: Text-To-Image Generation via Masked Generative Transformers: project page
- GPT-4 could pass Bar Exam, AI researchers say
- Microsoft Recognizers Text Overview
- The Hundred-Page Machine Learning Book
- Musicians Wage War Against Evil Robots
- In this thread, I'll walk you through "Gambler's Ruin".
- Waze, 운전자에게 "충돌 사고 이력"이 있는 도로 경고 알림 테스팅중 (theverge.com)
- WhisperX - 타임스탬프 정확도를 개선한 Whisper 기반의 ASR (github.com/m-bain)
- Ownership of AI-Generated Code Hotly Disputed - A copyright storm may be brewing for GitHub Copilot
- ChatBCG - 텍스트-to-파워포인트 AI (chatbcg.com)
- I experimented with video scripts on ChatGPT and cracked the code on how to do it right
- CS224n: Natural Language Processing with Deep Learning
- Let's dive into how RLHF(Reinforcement Learning from Human Feedback) works in 8 tweets!
- Advent of Code 2022 in pure TensorFlow - Day 6
- 구글, 비디오 안의 내용도 검색 가능한 "Search in Video" 기능 공개 (searchengineland.com)
- Never write a Bash command again (with the help of GPT-3)
- ML Engineer를 위한 MLOps
- 하드웨어
- 블록체인과 메타버스
- 읽을거리
보너스: Latency Numbers Every Programmer Should Know via @wcrichton
EOB
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