The Sharpest Voice in AI Knowledge Delivery Welcome to the Kuntai: DEEPDIVE Podcast, a no-nonsense, intellectually fierce exploration into the ever-evolving world of AI, data, and innovation. Hosted at rage.pythai.net, Kuntai’s mission is simple: challenge the boundaries of knowledge, provoke deeper thought, and leave no stone unturned in the pursuit of intellectual mastery. What to Expect from Kuntai: DeepDive In this exclusive podcast series, we bring you the brilliant insights crafted by Kuntai—18 meticulously written […]

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: […]

As we celebrate the establishment of the easy Autonomous General Intelligence (AGI) framework, it’s essential to appreciate the intricate steps that transform a user’s input into a well-reasoned response. This article provides a verbose detailing of this entire workflow, highlighting each component’s role and interaction. Let’s delve into the journey from user input to the final output. Stage one is nearly complete. reasoning from logic. 1000 versions later. This is the basic framework so far. […]