Скачать или смотреть Multimodal RAG & EMBEDDINGS with Amazon Bedrock & Nova: Full Course & Tutorial

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Unlock the power of next-generation AI in this complete course on Multimodal Retrieval-Augmented Generation (RAG). Learn how to build sophisticated AI applications that understand and process both text and images using Amazon Bedrock, Amazon Nova, and advanced multimodal embeddings.

This full video tutorial, based on the popular Analytics Vidhya course, takes you from foundational concepts to building a fully functional Multimodal RAG pipeline on AWS. Whether you're an AI developer, a data scientist, or a solutions architect, this guide will give you the practical skills to master one of the most exciting frontiers in generative AI.

👇 Timestamps 👇
00:00 - Introduction to Multimodal AI & RAG
02:40 - Understanding Embeddings and Tokenization
33:45 - Understanding Byte-Pair Encoding (BPE)
50:00 - Implementing Byte-Pair Encoding (BPE)
57:33 - Data sampling with a sliding window
1:37:21 - Exploring Embedding model on Amazon Bedrock
2:07:57 - Multimodals and Transformers for Vision
2:24:37 - Understanding CLIP
2:46:47 - Text Generation Multimodals
3:12:16 - Introduction to Amazon Nova & API
3:50:23 - What is RAG?
3:59:19 - What is Multimodal RAG?
4:11:37 - Hands on: Building Multimodal RAG with Amazon Bedrock, Amazon Nova and LangChain
4:35:41 - Getting started with Amazon Bedrock
4:41:04 - Amazon Bedrock Interface
5:03:06 - Understanding of Agents and its knowledge base
5:18:24 - Build an agent in Amazon Bedrock

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