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Introduction to Amazon Bedrock (feat. Ramya Ganesh)
Manage episode 481613016 series 3530865
A tartalmat a Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/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.
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