오늘의 짤방: #GPT4 can generate GPT4 prompts. via @DataChaz
- 빅데이터/인공지능
- YTsaurus - Exabyte-Scale 스토리지 & 처리 시스템 오픈소스(ytsaurus.tech)
- ChatGPT Gets Its “Wolfram Superpowers”!
- Build a delightful GPT-4 prompt for your Markdown docs
- Hello Dolly: Democratizing the magic of ChatGPT with open models
- Dolly - This fine-tunes the GPT-J 6B model on the Alpaca dataset using a Databricks notebook.
- Chatbot UI is an advanced chatbot kit for OpenAI's chat models built on top of Chatbot UI Lite using Next.js, TypeScript, and Tailwind CSS.
- 챗GPT, 유니티에도 적용…게임개발까지 뒤흔들까 - 유니티·언리얼엔진에도 챗GPT 접목…초기 버전도 기대이상
- ChatGPT + Code Interpreter = Magic
- 'AI, 입맛에 맞게 조련하라' 프롬프트 엔지니어링 활용법
- ChatGPT gets “eyes and ears” with plugins that can interface AI with the world
- Bill Gates on AI and the rapidly evolving future of computing
- Major AI advances this month
- March 20 ChatGPT outage
- 웹 브라우징 역량 가미된 ChatGPT, 최신 정보도 검색한다
- OpenAI tech gives Microsoft's Bing a boost in search battle with Google
- 기업 민감 데이터를 챗GPT 등에 넣어도 될까?··· 보안 업계 대답은 'No!'
- Introducing: GPT-4-powered, scientific summaries
- How to Develop Interpretable Time Series Forecasts with Deep Learning
- AI Can Change How You Measure — and How You Manage
- ChatGPT Retrieval Plugin
- ChatGPT plugins
- Learn how to build a plugin that allows ChatGPT to intelligently call your API.
- 구글, 바드 AI 챗봇 사인업 페이지 오픈··· '한국은 아직 미지원'
- “포토샵 더 쉬워진다”··· 어도비, 생성형 AI 도구 ‘파이어플라이’ 출시
- 오라클, 엔비디아 GPU 기반 ‘AI 슈퍼컴퓨팅 서비스’ 첫 신호탄··· ‘DGX 클라우드’ 출시
- 엔비디아, ‘기업 맞춤형‘ 생성 AI 서비스 발표··· ‘락인’ 우려도
- “빙챗, 이제는 그림까지” 빙챗에 통합된 ‘빙 이미지 크리에이터’ 사용법
- 30 Probability and Statistics Interview Questions for Data Scientists
- ChatGPT로 조선일보 RSS 크롤링 만들어달라고 요청해봤다..."퇴사 마렵.."
- Evidence of a predictive coding hierarchy in the human brain listening to speech
- OpenAI, ChatGPT Plugins 공개 (openai.com)
- CONFERENCE JENSEN HUANG (NVIDIA) and ILYA SUTSKEVER (OPEN AI).AI TODAY AND VISION OF THE FUTURE
- OpenAI connects ChatGPT to the internet
- Apple Neural Engine (ANE) Transformers
- Helicone.ai (YC W23) – Open-source logging for OpenAI
- How to use Alpaca-LoRA to fine-tune a model like ChatGPT
- Build an AI Chatroom With ChatGPT and ZK by Asking It How!
- OpenAI Releases an Advanced Classifier to Distinguish AI and Human Writing Styles
- AI Text Classifier
- “밤 새우게 재미있더라”··· 깃허브, 자연어 기반 AI 코딩 도구 코파일럿 X 출시
- 개발자를 위한 AI 검색엔진 ‘파인드(Phind)’ 활용법
- 드디어 출시된 구글 바드, 그런데 지루하다
- Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
- Instruct-NeRF2NeRF - Editing 3D Scenes with Instructions
- Sparks of Artificial General Intelligence: Early experiments with GPT-4
- Bloop - GPT-4를 이용한 코드 검색 엔진 (github.com/BloopAI)
- How to Calculate Precision, Recall, F1, and More for Deep Learning Models
- Paper QA is a minimal package for doing question and answering from PDFs or text files
- Everything ChatGPT - Explore what happens under the hood with the ChatGPT web app.
- GPT-4가 직무 별로 미치는 영향도
- Chatbot UI is an advanced chatbot kit for OpenAI's chat models built on top of Chatbot UI Lite using Next.js, TypeScript, and Tailwind CSS.
- This is an attempt to build a locally hosted version of GitHub Copilot. It uses the SalesForce CodeGen models inside of NVIDIA's Triton Inference Server with the FasterTransformer backend.
- Meta AI’s Large Language Model with 10x Fewer
- Little Snitch Mini - Privacy. Easier than ever.
- GitHub Copilot X: The AI-powered developer experience
- Capabilities of GPT-4 on Medical Challenge Problems
- ChatLLaMA is an experimental chatbot interface for interacting with variants of Facebook's LLaMA. This bot is using the 7 billion parameter variant fine-tuned on the Alpaca dataset.
- Was this written by a human or AI? ¯\_(ツ)_/¯
- 8 Advanced ChatGPT Prompt Techniques for 10x Output ( Steal Them ) :
- Alpaca-LoRA : Low-Rank LLaMA Instruct-Tuning (github.com/tloen)
- Top Python Libraries for Visualization: A Starting Guide
- 매일 10분씩 챗지피티를 활용하는 법을 익히고 있는 사람의 팁 한국어로 공유합니다. 가장 일반적인 것부터!
- State of Competitive Machine Learning 2022 (mlcontests.com)
- 유니티의 ChatGPT는 정말 대단합니다! Unity3D와 ChatGPT 통합! :: ChatGPT 정리
- Introducing GPT-4 in Azure OpenAI Service
- "빙 챗은 잊어라" 마이크로소프트 코파일럿, 얼마나 유능할까
- AI 품은 MS 오피스가 주는 메시지··· ‘품질에 집중하고 배워야 산다’
- Can AI-Generated Text be Reliably Detected?
- Using GPT for Market Research
- Adobe made an AI image generator — and says it didn’t steal artists’ work to do it
- I'm an AI-prompt engineer. Here are 3 ways to use ChatGPT to get the best results.
- The Age of AI has begun
- AIChat - Using ChatGPT/GPT-3.5/GPT-4 in the terminal.
- Welcome to the UvA Deep Learning Tutorials!
- Create images with your words – Bing Image Creator comes to the new Bing
- GPT-4 and professional benchmarks: the wrong answer to the wrong question
- The End of Front-End Development
- How to Use ChatGPT to Write SQL JOIN Queries
- GPT Token Cost Comparison
- Dalai - Run LLaMA and Alpaca on your computer.
- Zero-1-to-3: Zero-shot One Image to 3D Object
- Virtual Face - Never wait for a photo shoot again, let our AI create the perfect profile picture in minutes
- ChatGPT 주식 보고서 정리
- Hugging Face notebooks x Colab🤗🤝
- Transformers.js - 트랜스포머를 브라우저에서 실행 (xenova.github.io)
- OpenAI-powered app from Microsoft will instantly transcribe patient notes during doctor visits
- 10 super useful ChatGPT prompts for developers (save 100+ hours):
- Spack - A flexible package manager supporting multiple versions, configurations, platforms, and compilers.
- Customizing LLMs:
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
- cockatoo - Transcription powered by AI; Turn your audio or video files into text or subtitles in seconds.
- How Microsoft’s bet on Azure unlocked an AI revolution
- Poe - Today, we are opening up public access to a new AI product we have been building called Poe.
- AI때문에 소프트웨어 엔지니어 직업이 쓸모없어지지 않을까요? (twitter.com/ID_AA_Carmack)
- SHAP: Explain Any Machine Learning Model in Python
- Prompt Engineering
- ChatGPT can’t access the internet, even though it really looks like it can
- How does GPT-3 spend its 175B parameters?
- Sam Altman admits OpenAI is 'a little bit scared' of ChatGPT and says it will 'eliminate' many jobs
- GPT-4 vs. GPT-3. OpenAI Models’ Comparison
- GPT Tokenizer
- Python comes under the top 5 skills for Data Engineer How I Use Python as a Data Engineer /🧵/
- 7 copy-paste prompts you cannot miss 🧵:
- Deep Learning Recommendation Model for Personalization and Recommendation Systems:(논문은 여기
- PCA from scratch using Python 🔥
- Let's see if GPT-4 can build ChatGPT in 10 prompts or less:
- Open-sourcing MockGPT4- run your gpt4 sessions locally using your api key. very basic but don't have to pay for ChatGPT plus.
- Querying Tabular Data using langchain
- Could you train a ChatGPT-beating model for $85,000 and run it in a browser?
- Clarity is simple perplexity.ai clone. Given a query, Clarity fetches relevant, up-to-date information from the web and uses OpenAI's API to generate an answer.
- How to create an OpenAI Q&A bot with ChatGPT API + embeddings
- How to create products that rely on machine learning
- Web Stable Diffusion
- 5 ways GPT-4 outsmarts ChatGPT
- Hello, Semantic Kernel!
- ReAct: Synergizing Reasoning and Acting in Language Models
- A simple Python implementation of the ReAct pattern for LLMs
- Stanford Alpaca, and the acceleration of on-device large language model development
- GPT-4 Khan Academy In Depth Demo
- The Unpredictable Abilities Emerging From Large AI Models
- KoAlpaca: Korean Alpaca Model based on Stanford Alpaca (feat. LLAMA and Polyglot-ko)
- 🦜️🔗 LangChain - ⚡ Building applications with LLMs through composability ⚡
- Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages.
- [샤로잡다] 챗GPT는 어떻게 내 질문에 대답할까? 탄생기부터 작동원리까지 | 김건희 교수
- Can GPT-4 *Actually* Write Code?
- Semantic vs. Keyword Search for Finding ChatGPT Context
- Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
- One AI Tutor Per Child: Personalized learning is finally here
- Llama 🦙 isn’t always perfect, but how can we know when it makes mistakes? 🤔
- 기업의 ChatGPT 활용 전략 (brunch.co.kr/@ioojoo)
- Vid2Seq: a pretrained visual language model for describing multi-event videos
- “자동차로 진출하는 ChatGPT” GM, GPT 이용해 차량 전문 가상 비서 만든다
- “ChatGPT 사용해 업무 만족도 크게 높아졌다” MIT
- 경영진에게 머신러닝 수명 주기를 설명하는 방법
- 오픈AI, 더 똑똑한 언어 모델 GPT-4 공개··· “이미지 분석, 긴 글 이해 능력 높아”
- 일일 활성 사용자 1억 돌파··· AI 챗봇 지원 '빙'은 순항 중
- 마이크로소프트, 애저 오픈AI에 챗GPT 모델 서비스화··· “이용 요금 매력적”
- 인터뷰 | 유니레버 CIO가 챗GPT로 비즈니스 가치를 구현한 방식
- ART: Automatic multi-step reasoning and tool-use with large black-box language models(논문은 여기서
- 전통강호 ‘구글’ vs. 신흥강자 ‘ChatGPT’의 AI 맞대결··· 프레플리 보고서
- ChatGPT's Chess Elo is 1400
- 마이크로소프트, 오피스 앱에 AI 코파일럿 전면 적용 발표
- 챗GPT 경쟁 속 MS의 AI 하드웨어 전략은? 새 AI용 가상머신 공개
- Prompt Engineering Guide
- Meet ViperGPT: A Python Framework that Combines Vision and Language Models Using Code Generation to Achieve State-of-the-Art Results
- GPT-4로 교육경험을 향상시킨 Duolingo Max 발표 (blog.duolingo.com)
- The GPT-3 Architecture, on a Napkin
- Journey to GPT-4
- Step by Step into GPT
- AI 일상화 신호탄! AI 유료화 신호탄?··· 마이크로소프트, 오피스 도구 전반에 AI 기술 결합
- Introducing Microsoft 365 Copilot – your copilot for work
- Microsoft 365 Copilot 공개 - AI 기반 오피스 도우미 (microsoft.com)
- We Gave GPT-3.5 Tools That Programmers Use For Their Work
- Midjourney v5 - 더 사실적인 이미지와 5개의 손가락 (arstechnica.com)
- gpt-repository-loader is a command-line tool that converts the contents of a Git repository into a text format, preserving the structure of the files and file contents.
- Microsoft-backed OpenAI starts release of powerful AI known as GPT-4
- Alpaca.cpp - Run a fast ChatGPT-like model locally on your device. The screencast below is not sped up and running on an M2 Macbook Air with 4GB of weights.
- Introducing Microsoft 365 Copilot — your copilot for work
- Indirect Prompt Injection Threats
- GPT-4 Technical Report
- Dataframes are used for statistics, machine-learning, and data manipulation/exploration. You can think of a Dataframe as an excel spreadsheet.
- GPT-4 Designed a Programming Language
- 32k token context length is a massive unlock for codegen
- tsai - 시계열 및 시퀀스를 위한 오픈소스 딥러닝 라이브러리 (github.com/timeseriesAI)
- Vision Transformer from Scratch
- MultiModal Machine Learning
- CMU Multimodal Machine Learning course (11-777), Fall 2022 semester
- chatgpt-action - Let chatgpt review your PR.
- 새로운 Bing은 OpenAI의 GPT-4 기반으로 동작합니다 (blogs.bing.com)
- Lots of tweets about GPT-4 in the last 8 hours.
- Stanford Alpaca: An Instruction-following LLaMA Model
- Alpaca와 온디바이스 LLM개발의 가속화 (simonwillison.net)
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- PyTorch 2.0: Our next generation release that is faster, more Pythonic and Dynamic as ever
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- Announcing OpenChatKit
- Meet in the Middle: A New Pre-training Paradigm
- ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
- 🦙🌲🤏 Alpaca-LoRA: Low-Rank LLaMA Instruct-Tuning
- High-throughput Generative Inference of Large Language Models with a Single GPU
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- ChatPaper - Refine Your Writing, Elevate Your Ideas with ChatPaper
- Alpaca: GPT-3.5 수준의 강력한 오픈소스 Instruction-Following 모델 (crfm.stanford.edu)
- What is Temperature in NLP?🐭
- OpenChatKit 공개 - ChatGPT를 구현 가능한 오픈소스 프로젝트 (together.xyz)
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- Don't know what to cook? Get a custom recipe with AI
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- OpenChatKit uses a 20 billion parameter chat model trained on 43 million instructions and supports reasoning, multi-turn conversation, knowledge and generative answers.
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- The State of Competitive Machine Learning
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- Butterfish - Let's do useful things with LLMs from the command line, with a bent towards software engineering.
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작성자가 댓글을 삭제했습니다.
답글삭제쏟아지는 AI 기사에 사무치는 군요.
답글삭제2017년 즈음 FE 분야에서 폭발했던 변화량과 속도에 Frontend Fatigue라는 용어가 나왔는데.
지금은 가히 AI Fatigue라 할만하네요.
그만큼 기회도 많고 반면 흐름을 놓치면 퇴보할 것 같은데, 어디에 포커싱을 맞추어 엔지니어링 능력을 길러주어야 할지 막막한 시기인 것 같습니다.
정말 소프트웨어 개발자가 사라질지, prompt engineering이라는 것이 자리잡고 발전할 만한 분야인지,
AI로 인한 2차 3차 적인 사회변화로 인해 어떤 미래를 살게될지 고민하게 되는 것 같습니다.
항상 좋은 정보 감사드립니다.
블로그에 AI/ML 관련 내용 정리를 매달 한 번씩 진행했었는데, 갑자기 올해 초부터 이상한 기류가 감지되어 급히 2주에 한 번씩 진행하고 있는데, 조만간 1주에 한 번씩 진행해야할지도 모르겠다는 생각이 들고 있습니다. 블록체인/메타버스와는 확실히 다른 기류와 분위기를 느끼고 있으며 어쩌면 2023년도 이후 전반적인 개발 생태계가 크게 바뀔지도 모르겠다는 생각도 듭니다.
삭제피드백 감사드리며, 계속해서 관련 정보를 정리해서 올려드리겠습니다.