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 Vector Space Models and Embeddings in RAGs

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missyou123
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Vector Space Models and Embeddings in  RAGs Empty
MensajeTema: Vector Space Models and Embeddings in RAGs   Vector Space Models and Embeddings in  RAGs EmptyDom Ago 18, 2024 3:50 am

Vector Space Models and Embeddings in RAGs


Vector Space Models and Embeddings in  RAGs 6294b2fe60276dbebe89b902e28cea94

Published 6/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 74.19 MB | Duration: 15m 29s

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 TensorFlow, 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, you'll learn to implement
effective RAG-based chatbots. First, you'll explore the
foundational concepts of Retrieval-Augmented Generation
and understand its significance in enhancing language
models. Next, you'll discover how to represent text data
using various embedding techniques, analyzing their
properties and limitations. Finally, you'll learn how to
implement these embeddings in a practical RAG system to retrieve relevant information efficiently. When you're
finished with this course, you'll have the skills and
knowledge of RAG needed to develop advanced AI chatbots
capable of sophisticated text retrieval and response
generation.

Homepage:


Código:
https://app.pluralsight.com/library/courses/vector-space-models-embeddings-rags/table-of-contents


Screenshots



Vector Space Models and Embeddings in  RAGs E018d3dd24ac55a3217cad03b8b48bb3



Download link






rapidgator.net:
Código:

https://rapidgator.net/file/c750d740b7f669406a2ba3d8094e6078/ywsmj.Vector.Space.Models.and.Embeddings.in.RAGs.rar.html

nitroflare.com:
Código:

https://nitroflare.com/view/316BCB0E47D32F6/ywsmj.Vector.Space.Models.and.Embeddings.in.RAGs.rar
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