LamRAG : From Data to Constructive Insights using Amazon Bedrock episode artwork

EPISODE · Sep 22, 2024 · 44 MIN

LamRAG : From Data to Constructive Insights using Amazon Bedrock

from Serverless Sorcery · host Renaldi Gondosubroto

In this episode, Renaldi Gondosubroto and Sandeep Kumar dive into the core concepts of Large Language Models (LLMs), Prompt Engineering, Vector Databases, Retrieval-Augmented Generation (RAG), and Agents. Using Amazon Bedrock's capabilities, they’ll demystify how to leverage AI in real-world scenarios. Highlighting Sandeep's internal application, Feedbackly, they will discuss how it collects sprint feedback and provides actionable insights using advanced AI techniques. Listeners will gain practical insights into integrating AI with AWS services, from sentiment analysis to career progression recommendations, making complex concepts accessible and impactful.

In this episode, Renaldi Gondosubroto and Sandeep Kumar dive into the core concepts of Large Language Models (LLMs), Prompt Engineering, Vector Databases, Retrieval-Augmented Generation (RAG), and Agents. Using Amazon Bedrock's capabilities, they’ll demystify how to leverage AI in real-world scenarios. Highlighting Sandeep's internal application, Feedbackly, they will discuss how it collects sprint feedback and provides actionable insights using advanced AI techniques. Listeners will gain practical insights into integrating AI with AWS services, from sentiment analysis to career progression recommendations, making complex concepts accessible and impactful.

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LamRAG : From Data to Constructive Insights using Amazon Bedrock

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This episode was published on September 22, 2024.

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In this episode, Renaldi Gondosubroto and Sandeep Kumar dive into the core concepts of Large Language Models (LLMs), Prompt Engineering, Vector Databases, Retrieval-Augmented Generation (RAG), and Agents. Using Amazon Bedrock's capabilities, they’ll...

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