A data framework for building LLM applications over external data.
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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.
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.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
Build, train, and ship custom machine learning models using an easy visual interface.
Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.
Find out how hot you are and improve your looks with LooksMax AI.
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
Using Low-rank adaptation to quickly fine-tune diffusion models.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
Class on machine w/ PDF, lectures, code.
Machine Learning library for the web, Node.js and developers.
Combine LLMs and code to create simple automations.
Distributed linear algebra framework and mathematically expressive Scala DSL.
Machine learning for language toolkit.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
A chat LLM based on the state-space model architecture.