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Vector Space Models and Embeddings in RAGs

Via Pluralsight

Pluralsight based on 13 ratings

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Overview

Discover the power of Retrieval-Augmented Generation (RAG) in modern NLP applications. This course will teach you how to implement a RAG-based chatbot using Python and Tensor Flow, focusing on text embeddings and retrieval techniques. In the ever-evolving field of natural language processing, integrating robust retrieval mechanisms with generation models is crucial for creating advanced AI systems. In this course, Vector Space Models and Embeddings in RAGs, youll learn to implement effective RAG-based chatbots. First, youll explore the foundational concepts of...

Syllabus

  • Introduction to Retrieval-Augmented Generation 15mins
Vector Space Models and Embeddings in RAGs
Go to Class

via Pluralsight

16 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Axel Sirota

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