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🖥️  Utilize Weaviate as the vector database for your agent with open access.

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Apprentice

mansibm6

Research Agent with the goals of reading things off the web and compiling information.

Exploring building research agents 

Large language models (LLMs) have transformed the way we approach machine learning and artificial intelligence. These models are incredibly powerful, but their true potential lies in their ability to work in harmony with other sources of data and computation. This library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.

LangChain

Auto-GPT is an experimental open-source application that showcases the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM 'thoughts' to autonomously achieve whatever goal you set.

Auto-GPT

BabyAGI is a Python project that demonstrates an AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize and execute tasks.

BabyAGI

LLaMA (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in the subfield of AI. It is available in multiple sizes (7B, 13B, 33B, and 65B parameters) and aims to democratize access to large language models by requiring less computing power and resources for training and deployment.

LLaMA

Empower your software projects with MetaGPT, a collaborative AI model for complex tasks.

MetaGPT

Weaviate is an open-source vector database that enables you to store data objects and vector embeddings from your preferred ML models. Moreover, it offers smooth scalability for handling billions of data objects.

Mansib Mursalin@mansibm6

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Mansib Mursalin

Matt Lopez

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Exploring building research agents

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