(오늘의 짤방: Learning programming at college via @_memeloper)
- 빅데이터/인공지능
- CMU 21-228 Discrete Mathematics
- OpenAI Rate limits
- slimsam - slimmer version of SAM, much smaller and faster yet very powerful ⚡️
- “개인화된 쇼핑 환경 지원”··· MS, 유통 업계 위한 AI 및 데이터 기능 추가
- 구글, ‘유통 산업’ 공략한 생성형 AI 기능 및 엣지 디바이스 공개
- Top Skill In 2024 - Your ability to talk to an AI model 😅 These are the 26 golden rules for prompting!
- “개발자 29%, AI 신뢰하지 않는다고 응답” 코더패드 보고서
- Show GN: 프롬프트를 자동으로 최적화해주는 "Prompt Optimizer" GPTs (chat.openai.com)
- LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems
- 뉴욕 타임스의 초대형 소송, 생성형 AI의 운명 결정한다
- 어렵지만 꺼내야 한다··· CIO가 AI 전략 회의에서 던져야 할 질문 6가지
- 생성형 AI로 어떻게 ‘돈’을 벌까?
- "수능서 심화수학 배제는 자해 행위, 하향 평준화 막아야"
- so every time you run inference with a language model like GPT-whatever, the model outputs a full probabilities over its entire vocabulary (~50,000 tokens), we needed the full vector (all 50,000 numbers!) for our research, so we developed a clever algorithm for recovering it by making many API calls
- Portkey's AI Gateway is the interface between your app and hosted LLMs. It streamlines API requests to OpenAI, Anthropic, Mistral, LLama2, Anyscale, Google Gemini and more with a unified API.
- "오류·환각 포착을 자동화"··· 스타트업 패트로너스, LLM 평가 도구 출시
- 🚀 RAG on Windows using TensorRT-LLM and LlamaIndex 🦙
- Portkey AI Gateway - 100+개의 LLM을 1개의 API로 이용 (github.com/Portkey-AI)
- “기저귀 못 뗀” 생성형 AI를 대하는 올바른 자세
- ReplaceAnything as you want: Ultra-high quality content replacement
- 저작권 소송 다수 직면한 오픈AI "AI 학습 데이터에 저작권 필수"
- NVIDIA Chat With RTX - Your Personalized AI Chatbot
- Introducing ChatGPT Team
- Colbert embedder - An embedder supporting ColBERT models. The Vespa ColBert embedder maps text to token embeddings, representing text as multiple contextualized vector embeddings.
- Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
- CES 2024 : 전산업에 스며든 AI
- Introducing the GPT Store
- Language Modeling Reading List (to Start Your Paper Club)
- Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
- See the pitch memo that raised €105m for four-week-old startup Mistral
- Chat With PDF Is Hard and ChatGPT Sucks At It - Here's Why
- Deploying LLM Apps to AWS, the Open-Source Self-Service Way
- Mistral QLoRA w/ MLX on your Mac ⚡
- Walmart unveils new generative AI-powered capabilities for shoppers and associates
- Using a Markov chain to generate readable nonsense with 20 lines of Python
- Ep. 7: End-to-end machine learning workflow with tidymodels & Posit Team
- Ten Noteworthy AI Research Papers of 2023
- 🔀 Phixtral - I made the first efficient Mixture of Experts with phi-2 models. 🥳
- What is Low-Rank Adaptation (LoRA) | explained by the inventor
- Sparrow - Data extraction with ML and LLM (tabular)
- LoRA: Low-Rank Adaptation of Large Language Models - This repo contains the source code of the Python package loralib and several examples of how to integrate it with PyTorch models, such as those in Hugging Face.
- A Survey on 3D Gaussian Splatting
- ‘수포자’ 많아 수능서 심화수학 뺀다니…한국 과학 미래 포기하나
- Will dialogue-based LLMs replace traditional search engines?
- 🏎️ FlashRank - Ultra-lite & Super-fast Python library to add re-ranking to your existing search & retrieval pipelines. It is based on SoTA cross-encoders.
- The Perfect Webpage - How the internet reshaped itself around Google’s search algorithms — and into a world where websites look the same.
- 추천 프로그램을 설계하는 방법
- The Data Engineering Handbook
- Midlibrary - MidJourney를 위한 스타일 라이브러리 (midlibrary.io)
- 생성형 AI에 대한 10가지 진단
- 제프 베조스가 찜한 AI 검색 서비스··· 퍼플렉시티AI, 7360만 달러 투자 유치
- 상상도 못한 일들 펼쳐진다 … 2024 'AI의 대진격'
- Using LLMs to Convert Unstructured Data Into Structured Data
- I’ve created a step-by-step guide to fine-tuning an LLM on your Apple silicon Mac.
- 임상 전문가 넘는 인공지능 피부 진단 시스템...아모레퍼시픽, AI 기반 ‘닥터 아모레‘ 개발
- Today we introduce Query Pipelines 💫, a declarative API that allows you to orchestrate simple-to-hard query workflows over your data.
- Training and deploying open-source large language models
- audio2photoreal - From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
- An excellent guide to get started fine-tuning locally with MLX + LoRA
- DragNUWA - Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
- Here's how to make an animated AI character in 2 min with HeyGen and ChatGPT:
- mlx lora/qlora example
- "AI 검색 엔진에 투자 몰린다" 퍼플렉시티 AI, 엔비디아·데이터브릭스 등 대규모 자금 유치
- Make-A-Character: High Quality Text-to-3D Character Generation within Minutes
- LLMs and Programming in the first days of 2024
- Dialoqbase is an open-source application designed to facilitate the creation of custom chatbots using a personalized knowledge base.
- ChatGPT Desktop Application (Available on Mac, Windows, and Linux)
- How to build a terrible RAG system
- Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
- Mobile ALOHA - Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
- ⚗️ distilabel - AI Feedback (AIF) framework for building datasets with and for LLMs.
- Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot.
- 미리보는 CES 2024 [77p 한국어 PDF] (pwc.com)
- GN⁺: 구글, 유료로 제공될 "고급" 버전의 Bard 작업중 (theverge.com)
- Outlines Functions 🏭 - Ready-to-deploy programs written with Outlines
- You can run Mixtral-8x7B models on free Colab or consumer desktops.
- DocGraphLM: Documental Graph Language Model for Information Extraction
- Here's how you setup an ETL pipeline for RAG with a simple, declarative interface, with in-built support for incremental data updates.
- LlamaIndex Open Source Roadmap
- Top Python libraries of 2023
- LiteLlama: Reduced-Scale Llama
- What are embeddings?
- 업스테이지, 콴다-KT와 챗GPT· MS 뛰어넘은 세계에서 수학 제일 잘하는 인공지능 'MathGPT' 개발
- Everything You Always Wanted To Know About Mathematics* (*But didn’t even know to ask)
- GPT-4 Vision API | Web Scraping with GPT-4 Vision API and Puppeteer
- Using Mermaid + ChatGPT for Test Case generation and management
- ChatGPT could soon replace Google Assistant on your Android phone
- Generative Retrieval for End-to-End Search Systems
- Microsoft, Phi-2 언어모델의 라이센스를 MIT로 변경 (huggingface.co)
- Druid Deprecation and ClickHouse Adoption at Lyft
- I trained Chess-GPT, a 50M parameter LLM, to play at 1500 ELO.
- Google Colab to generate genomic sequence based on our long-context language model.
- 5 GitHub repositories that will give you superpowers as an AI/ML Engineer:
- MIT licensed Phi running on Mac powered by Rust! 🦀
- The Enterprise RAG Solution Accelerator (GPT-RAG) offers a robust architecture tailored for enterprise-grade deployment of the RAG pattern.
- Stuff we figured out about AI in 2023
- GENERALIST EMBEDDING MODELS ARE BETTER AT SHORT-CONTEXT CLINICAL SEMANTIC SEARCH THAN SPECIALIZED EMBEDDING MODELS
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters
- TinyLlama: An Open-Source Small Language Model
- BCI simulator is a lightweight simulator for closed-loop brain-computer interfaces (BCIs), with the goal of simplicity and being easily modifiable.
- OpenVoice by @myshell_ai - Instant voice cloning by MyShell.
- What are the most important statistical ideas of the past 50 years?
- DINOv2 is the king for self-supervised learning in images 🦖🦕
- NIST Trustworthy and Responsible AI NIST AI 100-2e2023
- “눈치 없는 솔직함이 더 위험” 생성형 AI에 대한 10가지 단상
- '학습부터 생성까지'··· AI는 저작권 사각지대
- Fine-Tuning with LoRA or QLoRA using MLX
- Our gift to you this new year is an advanced RAG diagram you can print out and frame 🖼️
- “원하는 감정·억양 넣은 목소리 만든다”··· 마이쉘, 목소리 생성 오픈소스 알고리즘 공개
- IDC "2024년 생성형AI 지출은 2배로 증가할 것"
- Welcome to RAGatouille - Easily use and train state of the art retrieval methods in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
- Using MPL to solve the 1 Billion Row Challenge
- CopilotKit - The Open-Source Copilot Platform
- Advanced Retrieval for AI with Chroma
- Instruct-Imagen: Image Generation with Multi-modal Instruction
- Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
- A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
- AI Tube - discover dozens of ML-generated videos
- AI 시대의 마켓플레이스 (a16z.com)
- GPT Builder - What is the GPT Builder for in ChatGPT and why did we make it?
- LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
- Transcribing Handwritten Text with Python and Microsoft Azure Computer Vision
- mlx-llm - LLM applications running on Apple Silicon in real-time thanks to Apple MLX framework.
- iOS/iPadOS 용 Microsoft Copilot 앱 릴리즈 (theverge.com)
- PwC의 2024년 AI 비즈니스 6대 전망 (2024 AI Business Predictions) (pwc.com)
- 대규모 언어 모델을 위한 검색-증강 생성(RAG) 기술 현황 (discuss.pytorch.kr)
- TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
- Microsoft breaks the SOTA for embedding models!
- Mistral Medium, that beats GPT-3.5 - according to speculative estimates, it could be a 195b total parameter model, structured as 8x30b mixture of experts
- Trying to create a language model that understands your own custom data?
- Boundary Attention: Learning to Find Faint Boundaries at Any Resolution
- Computer Vision and Machine Learning Jupyter Notebooks
- 대규모 언어 모델을 위한 검색-증강 생성(RAG) 기술 현황 (discuss.pytorch.kr)
- RAG Or Fine-Tuning?
- A Survey of Techniques for Maximizing LLM Performance
- 클라우드·AI도 올해가 승부처… 새먹거리 챙기는 IT서비스 빅3
- NHN클라우드 '원톱' 오른 김동훈 "과제는 AI데이터센터 고도화"
- 카카오 첫 자체 데이터센터 1분기에 열어 … AI 서비스 도입에 속도
- 🌀𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗯𝗿𝗮𝗶𝗻 🌀
- Scaling LlamaIndex with AWS and Hugging Face
- 📌 Run the huge Mixtral8x7B-Instruct with decent generation speed in Free Google Colab or in your home 12GB 3060 GPU
- UForm - Pocket-Sized Multimodal AI For Content Understanding and Generation
- catgpt - This is a command-line tool that uses the OpenAI model to generate text based on user input.
- Searching, fast and slow, through product catalogs
- Improving Text Embeddings with Large Language Models
- Deep Dive into AI with MLX and PyTorch: Prolog - Welcome to "Hello AI World"
- Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
- 이제부터 진검승부...테크판 AI 총력전
- AI에 치이고 끌려간 클라우드…새해에는 어떨까
- nanoGPT_mlx - A port of Andrej Karpathy's nanoGPT in Apple's new machine learning framework, MLX.
- MLX Examples - This repo contains a variety of standalone examples using the MLX framework.
- Serving Machine Learning Models as API with FastAPI
- 2023 Recap In AI
- An explanation for why GPT-4 is degrading:
- In 2024, let’s make RAG less of a hack.
- Just using MLX to fine-tune TinyLlama with LoRA locally on a 8 GB Mac Mini.
- The GPU Poor strike back
- How I learned PyTorch in 4 steps:
- From Machine Learning to Creating Learning Machine
- AI Research Experiences - Harvard CS197 - Take your AI skills to the next level
- MLX Stable Diffusion WebUI
- Understanding Deep Learning Optimizers: Momentum, AdaGrad, RMSProp & Adam
- Semantic Router is a superfast decision-making layer for your LLMs and agents.
- Gemini vs. GPT-4V
- LMCompilers came out!
- Fast Inference of Mixture-of-Experts Language Models with Offloading
- Mixtral offloading - This project implements efficient inference of Mixtral-8x7B models.
- 하드웨어
- 읽을거리
EOB
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