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Fast, Accurate, Lightweight Python library to make State of the Art Embedding
📝 Reference-Free automatic summarization evaluation with potential hallucination detection
MARS5 speech model (TTS) from CAMB.AI
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
📚 A collection of useful resources for building RESTful HTTP+JSON APIs.
This repository contains resources for technical coding interviews.
🦆 A curated list of awesome DuckDB resources
Python composable command line interface toolkit
Open Source framework for voice and multimodal conversational AI
A modular graph-based Retrieval-Augmented Generation (RAG) system
Inspect: A framework for large language model evaluations
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Fast lexical search library implementing BM25 in Python using Scipy (on average 2x faster than Elasticsearch in single-threaded setting)
🪁A curated list of awesome resources around entity embeddings
A framework for orchestrating AI agents using a mermaid graph
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
A generative speech model for daily dialogue.
A DuckDB extension to read data directly from databases supporting the ODBC interface
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our c…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024
Production-Grade Evaluation for LLM-Powered Applications