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LLMs

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

Use AI to automatically generate tags for your articles.

Tracing OpenAI calls with Opik for LLM evaluation purposes.

Sandbox for HuggingFace.js, testing different open source LLMs

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

Groq AI Transcribe is a simple Python-based project using the Groq API to transcribe audio files. The project provides a simple and efficient way to transcribe audio files using the Groq API via the command line.

The EUC RAG Agent is a Retrieval-Augmented Generation (RAG) system built to deliver accurate and relevant responses for the fictional Egyptian University in Cairo (EUC). It uses all-MiniLM-L6-v2, gemini embedding-001, or TF-IDF vectorization for precise information retrieval and employs gemini-1.5-flash, gemini-1.5-pro, or llama2:7b models for generating concise, professional answers. The agent efficiently addresses a variety of university-related inquiries.

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 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.