Create synthetic datasets for training and testing Language Learning Models (LLMs) in a Question-Answering (QA) context.
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Updated
Apr 27, 2024 - Python
Create synthetic datasets for training and testing Language Learning Models (LLMs) in a Question-Answering (QA) context.
Simple Summarizer Tool using Llama 3 8b.
Detailed description given in the README
Run a "super-human" AI from the year 2124 in your terminal with only three lines of code, today!
Ce projet est destiné aux utilisateurs souhaitant extraire et analyser des informations de plusieurs fichiers PDF.
⚗️ Llama3 8b instruct model repository trained by meta managed by DVC
Multi-agent workflows with Llama3: A private on-device multi-agent framework
Este repositório contém um exemplo de como criar agentes de IA usando a biblioteca CrewAI, o modelo Llama3 e a API Groq em Python. O objetivo é fornecer uma estrutura básica para configurar e executar agentes de IA.
An attempt to run ollama on kuberenetes
Adapted BERTopic pipeline for Topic Modeling the arXiv dataset
Add a description, image, and links to the llama3 topic page so that developers can more easily learn about it.
To associate your repository with the llama3 topic, visit your repo's landing page and select "manage topics."