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
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 - AI 품은 MS 오피스가 주는 메시지··· ‘품질에 집중하고 배워야 산다’
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 - 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
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 - 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)
 - NVIDIA Hopper Architecture In-Depth
 - PyTorch 2.0fire이 공식 출시되었습니다!
 - PyTorch 2.0: Our next generation release that is faster, more Pythonic and Dynamic as ever
 - AI 소프트웨어 서비스… 앞으로 벌고 뒤로 밑진다?
 - OpenAI - GPT-4 발표. ChatGPT Plus에서 GPT-4 모델 선택가능 (openai.com)
 - Running LLMs on consumer GPUs. Notes, tutorials, and examples in one thread 🧵
 - 알아두면 만사가 편해지는 머신러닝 10가지 알고리즘
 - 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
 - Self-planning Code Generation with Large Language Model
 - 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)
 - Business 관점에서 바라본 AI
 - Meta’s powerful AI language model has leaked online — what happens now?
 - Don't know what to cook? Get a custom recipe with AI
 - Using LLaMA with M1 Mac
 - 챗GPT API기반 자사서비스 연동 챗봇 - 고서이미지번역GPT (데모, 소스코드 포함)
 - OpenChatKit uses a 20 billion parameter chat model trained on 43 million instructions and supports reasoning, multi-turn conversation, knowledge and generative answers.
 - [업무활용편] ChatGPT 활용사례 및 활용 팁
 - The State of Competitive Machine Learning
 - MIT Introduction to Deep Learning | 6.S191
 - Large language models are having their Stable Diffusion moment
 - ModelFox makes it easy to train, deploy, and monitor machine learning models.
 - Basic Molecular Representation for Machine Learning
 - Butterfish - Let's do useful things with LLMs from the command line, with a bent towards software engineering.
 - ChatGPT's API is So Good and Cheap, It Makes Most Text Generating AI Obsolete
 
 - 하드웨어
- Internet of Skull
 - 애플 정품 고속충전기, 아이폰 15 필수품일 가능성 높아
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 - This is an EUV Lithography Machine.
 - Apple Pay, 대한민국 출시 (apple.com)
 - 스토리지 전쟁 2: 왜 하닉은 인텔 낸드를 샀는가?
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 - The Threat on Your Desk: Building an Evil USB-C Dock
 
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