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📚 A curated list of papers & technical articles on AI Quality & Safety
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured …
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Run PyTorch LLMs locally on servers, desktop and mobile
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
SGLang is a high-performance serving framework for large language models and multimodal models.
An Open-Ended Embodied Agent with Large Language Models
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
A large-scale, fine-grained, diverse preference dataset (and models).
Label, clean and enrich text datasets with LLMs.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
Let ChatGPT teach your own chatbot in hours with a single GPU!
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
Resources for "Conversational Entity Linking: Problem Definition and Datasets"
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.