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Energy-based machine learning models built upon PyTorch.
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Pushing the frontier of neural imaging.
Algorithms for learning and inference with discrete probabilistic models.
A tool kit for processing text using computational linguistics.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A Challenging, Contamination-Free LLM Benchmark.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.
Psst, kid, want some cheap and small LLMs?
Provides a central interface to connect your LLM's with external data.
LlamaIndex is a data framework for your LLM applications.
A data framework for building LLM applications over external data.
Build agents which are controlled by LLMs.
Research on evaluation of LLMs conducted by Microsoft Research and other collaborated institutes. (Updated at: 2023/10).
No-code batch compute platform for LLM evaluation and tuning workloads.
Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.
Download this free LLM Testing Guide.
Discord invite for joining a related community, support server, updates, or project discussion.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.
Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.