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
Testing the capabilities of the Llama 3 language model, specifically the Meta-Llama-3-8B-Instruct variant with 8 billion parameters.
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.
Adapted BERTopic pipeline for Topic Modeling the arXiv dataset
Run LLAMA-3 70B LLM with NVIDIA endpoints on amazing Streamlit UI
A Python Slack bot with AI based features
Text Based Game where players make an AI say a specific phrase without asking directly
A RAG application for East West University (Only Science Faculty)
中文llama3大模型快速上手,通用中文语言大模型finetune教程,基于Meta-llama3实现。
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