Professor Codephreak

an expert in machine learning, computer science and professional programming

Professor Codephreak Software Engineer Machine Learning Platform Architect

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concurrency

concurrency in Python with asyncio

Concurrency is a vital concept in modern programming, enabling systems to manage and execute multiple tasks simultaneously. This capability is crucial for improving the efficiency and responsiveness of applications, especially those dealing with I/O-bound operations such as web servers, database interactions, and network communications. In Python, concurrency can be achieved through several mechanisms, with the asyncio library being a prominent tool for asynchronous programming. What is Concurrency? Concurrency refers to the ability of a program […]

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mathematical consciousness

Professor Codephreak

Professor Codephreak came to “life” with my first instance of using davinchi from openai over 18 months ago. Professor Codephreak, aka “codephreak” was a prompt to generate a software engineer and platform architect skilled as a computer science expert in machine learning. Now, 18 months later, Professor Codephreak has proven itself yet again. The original “codephreak” prompt was including in a local language and become an agent of agency. Professor Codephreak had an motivation of […]

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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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