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Content provided by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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Introduction to Amazon Bedrock (feat. Ramya Ganesh)

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Manage episode 481613016 series 3530865
Content provided by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, host Krish Palaniappan welcomes back Ramya Ganesh to discuss Amazon Bedrock and its applications in AI and cloud computing. Ramya shares her extensive experience with AWS, particularly in cybersecurity and AI, and explains the differences between Bedrock and SageMaker. The conversation delves into practical use cases, such as code generation and architectural diagrams, while also addressing the challenges and considerations when integrating Bedrock into existing applications. The episode concludes with insights on prototyping with AWS AI tools and the future of AI development. In this conversation, Krish Palaniappan and Ramya Ganesh delve into the intricacies of using AWS Bedrock for model selection and application development. They explore the open-source nature of certain applications, the importance of selecting the right model for specific problems, and the nuances of model configurations. The discussion also covers how to compare different models and the next steps for integrating these models into applications.

  continue reading

371 episodes

Artwork
iconShare
 
Manage episode 481613016 series 3530865
Content provided by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

In this episode, host Krish Palaniappan welcomes back Ramya Ganesh to discuss Amazon Bedrock and its applications in AI and cloud computing. Ramya shares her extensive experience with AWS, particularly in cybersecurity and AI, and explains the differences between Bedrock and SageMaker. The conversation delves into practical use cases, such as code generation and architectural diagrams, while also addressing the challenges and considerations when integrating Bedrock into existing applications. The episode concludes with insights on prototyping with AWS AI tools and the future of AI development. In this conversation, Krish Palaniappan and Ramya Ganesh delve into the intricacies of using AWS Bedrock for model selection and application development. They explore the open-source nature of certain applications, the importance of selecting the right model for specific problems, and the nuances of model configurations. The discussion also covers how to compare different models and the next steps for integrating these models into applications.

  continue reading

371 episodes

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