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Build a solid foundation in Snowflake to pass the SnowPro Core exam on the first attempt

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Casalaina, Marco

Saladi, Adithya

A practical guide to unlocking generative AI-powered innovation with Azure OpenAI

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Write your own practical quantum programs with Python

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Odunukwe, Charles

Boost your skills with expert insights and certification-ready strategies for Microsoft analytics

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Belmansour, Tidjani

Brady, Damian

A step-by-step guide to developing cross-platform CLI apps—from coding and testing to deployment

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Apperson, Lem

Weinberger, Jonathan

Leverage C# scripting in Unity to create immersive games and VR experiences

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Create intelligent apps with LLMs and vector databases

Building AI Intensive Python Applications

<span xml:lang="en">Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases</span>

Palmer, Rachelle

Larew, Nicholas

Perlmutter, Ben

Narváez, Sigfrido

Gangadhar, Ashwin

Rueckstiess, Thomas

Weller, Henry

Alake, Richmond

Ranjan, Shubham

Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI appsKey FeaturesGet to grips with the fundamentals of LLMs, vector databases, and Python frameworksImplement effective retrieval-augmented generation strategies with MongoDB AtlasOptimize AI models for performance and accuracy with model compression and deployment optimizationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe era of generative AI is upon us, and this book serves as a roadmap to...

Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create...

Format

Building AI Intensive Python Applications

Create intelligent apps with LLMs and vector databases

Rachelle Palmer

Nicholas Larew

Ben Perlmutter

Sigfrido Narváez

Ashwin Gangadhar

Thomas Rueckstiess

Henry Weller

Richmond Alake

Shubham Ranjan

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