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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://podcastplayer.com/legal.
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AI Explorer Series (Part 3: Anthropic, Hugging Face, Cohere)

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Manage episode 472127971 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://podcastplayer.com/legal.
In this conversation, Krish Palaniappan delves into the AWS AI series, focusing on Amazon Bedrock and its foundational models. He discusses the differences between serverless models and the Bedrock marketplace, the importance of selecting the right model for specific use cases, and the training and inference processes in AI. The conversation also compares AWS Bedrock with Azure's offerings and emphasizes the complexities of AI architecture in modern development. In this conversation, Krish Palaniappan delves into the complexities of selecting AI models and platforms, particularly focusing on Bedrock and Hugging Face. He discusses the challenges startups face in asset comparisons, the importance of initial architecture in software development, and the evolving landscape of AI tools. The conversation emphasizes the need for a strategic approach to model selection, deployment, and understanding pricing structures, while also highlighting the significance of community engagement in the AI space. Snowpal Products
  continue reading

198 episodes

Artwork
iconShare
 
Manage episode 472127971 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://podcastplayer.com/legal.
In this conversation, Krish Palaniappan delves into the AWS AI series, focusing on Amazon Bedrock and its foundational models. He discusses the differences between serverless models and the Bedrock marketplace, the importance of selecting the right model for specific use cases, and the training and inference processes in AI. The conversation also compares AWS Bedrock with Azure's offerings and emphasizes the complexities of AI architecture in modern development. In this conversation, Krish Palaniappan delves into the complexities of selecting AI models and platforms, particularly focusing on Bedrock and Hugging Face. He discusses the challenges startups face in asset comparisons, the importance of initial architecture in software development, and the evolving landscape of AI tools. The conversation emphasizes the need for a strategic approach to model selection, deployment, and understanding pricing structures, while also highlighting the significance of community engagement in the AI space. Snowpal Products
  continue reading

198 episodes

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