Agentic Chunking Strategy | RAG Chunking | LlaMa3 Prompting | LLM | Gen AI | Better Chunking

Discover the powerful agentic chunking strategy in Retrieval-Augmented Generation (RAG) with this comprehensive guide! 🌟 In this video, I provide an overview and definition of agentic chunking, followed by a detailed explanation of its working algorithm with practical examples. Learn how to implement a custom agentic chunking strategy using LLaMA 3's 70B instruct model, including how to write well-documented prompts for accurate results from raw data.
I demonstrate how to create chunks for text paragraphs and offer ample examples to illustrate each functionality. Additionally, I explain when and why to use the agentic chunking strategy, with real-world scenarios to highlight its effectiveness. You'll also gain insights into the LLaMA 3 model's prompt template and tips for writing effective prompts.
Whether you're new to AI or looking to refine your skills, this video is packed with valuable knowledge and practical examples.
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[@Entertainment-yk8jc]

Great !!

[@ataglanceofficial]

Thankyou💗🥳🙏

[@ajitpaddalwar6864]

💯❤️🌹🎉

[@ataglanceofficial]

😇🙏🙏❤️

[@ashahnayak3441]

can this strategy helps in tabular format document