A comprehensive toolkit to build Machine Learning applications with Rust.
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A tool kit for processing text using computational linguistics.
LiteLLM provides machine-learning models, research, training resources, or evaluation tools.
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.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
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.
LLM Evaluation Metrics: Everything You Need for LLM Evaluation - Confident AI provides machine-learning models, research, training resources, or…
Download this free LLM Testing Guide.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LLMSTXT.NEW provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
LMQL provides machine-learning models, research, training resources, or evaluation tools.