Stars
Collection of resources for finetuning Large Language Models (LLMs).
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
💬 A proposal for a web API for prompting browser-provided language models
Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMs). Perfect for ML practitioners and researchers!
Chrome Extensions Samples
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Chat with any codebase in under two minutes | Fully local or via third-party APIs
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Framework for enhancing LLMs for RAG tasks using fine-tuning.
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
Convert PDF to markdown + JSON quickly with high accuracy
Enforce the output format (JSON Schema, Regex etc) of a language model
LLM-based text extraction from unstructured data like PDFs, Words and HTMLs. Transform and cluster the text into your desired format. Less information loss, more interpretation, and faster R&D!
Combining the search power of Elasticsearch with the Question Answering power of GPT
A python library for hierarchical classification compatible with scikit-learn
Streamlit LLM app examples for getting started
A Bulletproof Way to Generate Structured JSON from Language Models
Bayesian active learning library for research and industrial usecases.
Multi-class confusion matrix library in Python
A guidance language for controlling large language models.
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…
Label, clean and enrich text datasets with LLMs.
Scale complete ML development with Amazon SageMaker Studio