llms-tools — LLM Plugin by PetroIvaniuk

by PetroIvaniuk · LLM Plugin · ★ 316

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About llms-tools

LLMs Tools & Research Projects The repository contains a list of ready-to-use AI Tools, Open Sources, and Research Projects \ Apart from LLMs, you can find here new AI research from other areas such as Computer Vision, etc.\ Welcome to contribute. Nobel Prize The Nobel Prize in Physics 2024 was awarded to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks”. The Nobel Prize in Chemistry 2024 was awarded with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction”. Jürgen Schmidhuber's Post: The NobelPrizeinPhysics2024 for Hopfield & Hinton rewards plagiarism and incorrect attribution in computer science Turing Award TURING AWARD in 2025 was recognized Andrew Barto and Richard Sutton as Pioneers of Reinforcement Learning Large Language Models (LLMs) and Chatbots Courses [![LangChain](https://img.shields.io/badge/

aichat-botchatbotschatgptdata-sciencellmllm-evaluationmachine-learningopen-source-llm

Quick Facts

Stars316
Forks44
CategoryLLM Plugin
LicenseApache-2.0
Quality Score38.2/100
Open Issues1
Last Updated2026-06-01
Created2023-05-09
Est. Tokens~26k

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Frequently Asked Questions

What is llms-tools?

llms-tools is A list of LLMs Tools & Projects. It is categorized as a LLM Plugin with 316 GitHub stars.

How do I install or use llms-tools?

You can find installation instructions and usage details in the llms-tools GitHub repository at github.com/PetroIvaniuk/llms-tools. The project has 316 stars and 44 forks, indicating an active community.

What license does llms-tools use?

llms-tools is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to llms-tools?

The top alternatives to llms-tools on Agent Skills Hub include Awesome-LLM-Eval, free-ai-resources-x, cai. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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