LLMs

SlimContext is a tool to prepare code and repo files for use in Generative AI.

AIlin is a tool that connects AI services, such as Perplexity.ai, with your local computer.

Ce repository comprend une série d'exemple d'intégration de LLM avec Langchain en Golang.

A lightweight document security solution that protects your confidential information when using cloud-based LLMs.

The idea is to have a set of small command line utilities to easily perform tests and operations with the LLMs of the moment. Their purpose is to encapsulate models or functionalities such as Speech to Text, Text to Speech, Vision, Batch, Chat, ...

Terminal Chat Completion client for Google's Gemini AI models written in Go

Terminal embedding client for Hugging Face's hosted embedding models written in Go

Tools for probing the reasoning ability of LLMs and logging the logprobs (log probabilties) of generated tokens to identify weak points in an LLM's response.

Make better and cleaner commits using LLM generated drafts

Code et histoires relatifs à l'exposé "Estimer la prédictibilité dans les paradigmes dérivationnels à partir de scénarios générés par des LLMs" présenté à LLCD 2024

AI Image Renamer is a Python-based tool that uses AI to analyze images and rename them with descriptive keywords. It leverages the Groq API to extract relevant keywords, ensuring accurate and meaningful file names. This tool is perfect for efficiently organizing your image libraries. Explore the GitHub Repository for more details.

Terminal and Web client for Text Completion tasks written in Go - various Hugging Face's hosted LLMs

Terminal Chat Completion client for OpenAI's LLMs written in Go

Project for collecting requirements from feature teams interested in semantic search and RAG-powered features.

Motivation Letters Expert system with LLM to enhance the given motivation letters.

Scholara: A Virtual Assistant Powered by LLM, RAG, and AI Agent.

Finding the right scholarship can be a timeconsuming and frustrating process. You'll likely spend hours poring over university websites, communicating with current students, and scouring the internet for information. Unfortunately, even after all that effort, there's no guarantee you'll find the perfect scholarship. That's where our AI scholar comes in. Let us handle the legwork for you, and we'll provide personalized assistance to find the most suitable scholarship for you and answer all your questions about the scholarships that interest you. We solved this by using LLM to provide a human-like when answer the students, RAG we build our own vector database to get more suitable scholarships from it based on student information and desire, also to keep our system up-to-date with all the updated information about the scholarships we built AI Web agent this helps the system to be aware about all the updates in the scholarships information, and new scholarships.

Terminal Chat Completion client for Mistral's AI models written in Go

A Python library to make the creation of a chatbot easy (thanks to LLMs and ollama).

Automatic Neural Network Assistant - A versatile CLI/GUI LLM tool, with optional remote offloading. Has unique features not seen in any other similar project based on llama.cpp.