Session
Introduction to RAG (Retrieval Augmented Generation)
The talk will cover ways to unlock the power of large language models (LLMs) through effective augmentation of prompts with relevant context, at run-time. We will explore ways of different approaches and sophistications possible within them.
The talk is for the intermediate level AI developers with basic background in Machine Learning, Deep Learning, etc. Specifically, to grasp the content, I recommend having a decent understanding of the following topics::
➡ Prompt Engineering
➡ Vector Embeddings
➡ Natural Language Processing, in general
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