Professor Codephreak

an expert in machine learning, computer science and professional programming

Professor Codephreak Software Engineer Machine Learning Platform Architect

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Reliable fully local RAG agents with LLaMA3

https://github.com/langchain-ai/langgraph/blob/main/examples/rag/langgraph_rag_agent_llama3_local.ipynb Building reliable local agents using LangGraph and LLaMA3-8b within the RAGE framework involves several key components and methodologies: Model Integration and Local Deployment: LLaMA3-8b: Utilize this robust language model for generating responses based on user queries. It serves as the core generative engine in the RAGE system. LangGraph: Enhance the responses of LLaMA3 by integrating structured knowledge graphs through LangGraph, boosting the model’s capability to deliver contextually relevant and accurate information. Advanced RAGE Techniques: […]

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mindX as a protocol — sovereign identity, the protocol every agent carries

Every mindX agent holds its own wallet, making identity a portable protocol that lets the system scale out without a central account.

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The PYTHAI boardroom: mindX, openmindX, MASTERMIND and BANKON around one table

mindXtrain Continues on Hugging Face; Thank You, Professor

mindXtrain now continues on Hugging Face at PYTHAI/mindXtrain; the GitHub original is archived for posterity, with thanks to Professor Codephreak for the pioneering work.

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