Official inference library for Mistral models
-
Updated
Nov 12, 2024 - Jupyter Notebook
Official inference library for Mistral models
Generate and brainstorm ideas while creating your notes using Large Language Models (LLMs) from Ollama, LM Studio, Anthropic, Google Gemini, Mistral AI, OpenAI, and more for Obsidian.
Access the latest AI models like ChatGPT, LLaMA, Diffusion, Gemini Hugging face, and beyond through a unified prompt layer and performance evaluation
A simple, lightweight shell script to interact with OpenAI or Ollama or Mistral AI or LocalAI or ZhipuAI from the terminal, and enhancing intelligent system management without any dependencies(pure shell).
Simplify tagging in Obsidian. Instantly analyze and tag your document with one click for efficient note organization.
Use machine learning to make your institutional communication more understandable and inclusive.
An unofficial C#/.NET SDK for accessing the Mistral AI API
This is an unofficial Dart/Flutter client for the Mistral AI API.
An NVDA Add-on for Integration with OpenAI, MistralAI, and OpenRouter APIs
Say hello to Sidekick! A Laravel package that provides a common syntax for using Claude, Mistral, Cohere and OpenAi APIs.
Unlimited ChatGPT using cloudflare workers.
The MistralAI API wrapper for Delphi utilizes the various advanced models developed by Mistral to provide robust capabilities for chat interactions, string embeddings, precise code generation with Codestral, batch and moderation.
Using AI agents to research customers and write them personalized sales emails
AI-powered multi-model Discord bot to try with Gemini 1.5 and other models from OpenRouter, Anthropic, GPT-4, Mistral, LLaMA, and More. in Discord! Try below or host your own
Unofficial .NET SDK for the Mistral AI platform.
🦖 X—LLM: Simple & Cutting Edge LLM Finetuning
RAG-nificent is a state-of-the-art framework leveraging Retrieval-Augmented Generation (RAG) to provide instant answers and references from a curated directory of PDFs containing information on any given topic. Supports Llama3.1 and OpenAI Models via the Groq API.
This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers
Add a description, image, and links to the mistralai topic page so that developers can more easily learn about it.
To associate your repository with the mistralai topic, visit your repo's landing page and select "manage topics."