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Taming AI Hallucinations with Intelligent Data Retrieval


Podcast Summary

In this Discover Dialogues episode, Suman Debnath delves into Retrieval-Augmented Generation (RAG) and multimodal AI agents, unpacking how these systems form the backbone of modern, reliable enterprise AI. Key points include:

Retrieval over Model Size: Accuracy hinges on retrieving the right data—Suman uses a librarian analogy: no matter how smart the model is, if it fetches the wrong book, answers will be wrong

RAG Applications: Suman highlights how RAG grounds generative models with real-world documents, product info, internal wikis, and IoT data to reduce hallucinations and increase trust

Multimodal Agents: He explores how agents that combine text, images, tables, and other data types are transforming enterprise AI, with examples of vision-language integrations

AWS Ecosystem Integration: Practical demos showcase how AWS tools—like Bedrock, embeddings services, and knowledge bases—ease RAG implementation for developer

This episode is a must-watch for anyone building scalable, trustworthy GenAI systems in enterprise environments.


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Target State: All States
Target City : Canada
Last Update : 03 July 2025 1:58 PM
Number of Views: 8
Item  Owner  : ashrutisharma
Contact Email:
Contact Phone: 987654344

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2025-07-04 (0.585 sec)