Co-create a PowerPoint presentation with Generative AI

Build a Conversational AI System that can answer questions by retrieving the answers from a document.

Fullstack chatbot built using Rust. Made using Candle, Leptos, Actix, Tokio and Tailwind. Uses quantized Mistral 7B Instruct v0.1 GGUF models.

A versatile CLI and Python wrapper for Mistral AI's 'Mixtral', 'Mistral' and 'NeMo' large language models. Streamline the creation of chatbots and generate dynamic text with ease.

бот помощник для telegram на python с нейросетью

An interactive website utilizing the "Mistral 7B Instruct v0.3" language model to provide text generation, sentiment analysis, and summarization features.

бот-помощник для telegram на python с нейросетью

claSCIfy is a SciBERT research paper assessment model which helps us to classify the paper as publishable and non-publishable and also helps us to identify the perfect conference for them.

MUICT Chatbot: Source code for the ITCS498 Special Topic in Computer Science project at Faculty of ICT, Mahidol University

Fine-tuning of Mistral-7b using Llama-Factory

Tinkering with LlamaIndex and Mistral-7B-Instruct-v0.1 on Google-Colab to build a smart agent (chatbot)

A sample chatbot showcasing RAG pipeline on CDC dataset.

OTIMIZAÇÃO DE GERAÇÃO DE TEXTO - Este projeto utiliza o LLM Mistral-7B-Instruct com o objetivo de otimizar a criação de conteúdo automatizado. Suas aplicações incluem a geração de descrições de produtos, redação de e-mails de marketing, personalização de campanhas publicitárias e potencial uso em atendimento ao cliente (chatbot).

Offline-friendly backend POC to transcribe YouTube videos and chat with video content using Whisper (no cloud required) and local LLMs via Ollama like Mistral or LLaMA2. Built with Flask and PostgreSQL, fully open source with Swagger APIs. Easily connect any frontend. ⚠️ Use Submit API to download one video at a time to avoid YouTube throttling.