Hugging Face

entities · 24 notes linked

Related: Large Language Models · Transformers · Openai · Agentic Coding · Foundation Models · Fine Tuning · AI Agents · Google

Notes

• A Wave Of Billion-Dollar Language AI Startups Is Coming — 2022 landscape survey of language AI startup ecosystem categories
• BAAI/bge-reranker-base · Hugging Face — BAAI BGE cross-encoder reranker for RAG retrieval pipelines
• ChatGPT and generative AI are booming, but the costs can be extraordinary — Compute economics of training and serving large language models
• Fine-tuning · Hugging Face — Fine-tuning pretrained LLMs with Hugging Face Trainer API
• For Some Autistic People, ChatGPT Is a Lifeline — Autistic people using ChatGPT for social scripting and communication support
• Full Committee Hearing - Artificial Intelligence Advancing Innovation Towards the National Interest — US House Science Committee 2023 hearing on AI policy and national interest
• GitHub - huggingface/education-toolkit: Educational materials for universities — Hugging Face free open-source ML education toolkit for universities and workshops
• Graph Classification with Transformers — Tutorial fine-tuning Microsoft Graphormer for graph classification via HuggingFace Transformers
• How We Use Claude Code Skills to Run 1,000+ ML Experiments a Day — Claude Code skills registry for team ML knowledge
• How to run Stable Diffusion on your Mac — Step-by-step guide to running Stable Diffusion locally on Apple Silicon
• How to train a new language model from scratch using Transformers and Tokenizers — End-to-end tutorial training RoBERTa-like LM on Esperanto from scratch
• Hugging Face Introduces StackLLaMA: A 7B Parameter Language Model Based on LLaMA and Trained on Data from Stack Exchange Using RLHF — Hugging Face RLHF fine-tuning of LLaMA 7B on Stack Exchange Q&A data
• Hugging Face Just Released SmolAgents: A Smol Library that Enables to Run Powerful AI Agents in a Few Lines of Code — Lightweight Hugging Face library for building AI agents in three lines
• Hugging Face clones OpenAI's Deep Research in 24 hours — Open-source research agent replicates OpenAI Deep Research in one day
• Introducing TabFM — a zero-shot foundation model for tabular data — Google foundation model does zero-shot tabular prediction
• Introduction to Graph Machine Learning — Graph neural network fundamentals from representations to transformers
• Meet 'Stack,' A 3TB of Permissively Licensed Source Code for LLMs (Large Language Models) — BigCode releases 3TB permissively licensed code dataset for LLMs
• Must-Have Prompt Engineering Skills for 2024 — In-demand prompt engineering skills, platforms, and tools
• Open-Source AI Is Uniquely Dangerous — Unsecured open-source AI uniquely risky because safety features cannot be re-patched
• Paper page - Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models — GPT-4 achieves near-perfect scores on MIT Math and EECS curriculum
• The Fastest Way to Build ML-Powered Apps — BaseTen (Practical AI #136) — BaseTen platform lowers barrier from Jupyter notebook to production ML app
• The Foundation Model Development Cheatsheet — Quick-start guide covering full pipeline for responsible open foundation model development
• We Got Claude to Fine-Tune an Open Source LLM — Hugging Face skill enables Claude Code to submit and manage LLM training jobs
• Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer) — Autoformer transformer outperforms DLinear baseline for time series forecasting