Optimizing RAG with Grokked LLMs
Learn how to optimize Retrieval-Augmented Generation (RAG) systems with Grokked LLMs. Discover the steps, limitations, and latest research in AI.
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Rag
GROKKED LLM beats RAG Reasoning (Part 3)
In this video, the host compares Grokking LLMs with traditional RAG systems, demonstrating their superior performance in complex causal reasoning tasks.
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Build RAG App with Langflow and Azure
Discover how to build a production-ready AI chatbot using RAG with Langflow, OpenAI, and Azure in this detailed tutorial.
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Open Source RAG with Verba
Discover Verba 1.0, an open-source RAG application that integrates with the Ollama model for running LLMs locally. Learn about its features, benefits, and installation process.
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New Discovery: LLMs Have a Performance Phase
Discover the phenomenon of ‘grokking’ in LLMs, where extended training leads to superior generalization and complex reasoning capabilities. Learn about the implications for AI training.
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Advanced Techniques for Document Parsing and Chunking in RAG
Learn advanced techniques for parsing and chunking various document types, including Microsoft Office documents, tables, and OCR images, to create datasets for model training.
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