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 apps
Key Features
Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks
Implement effective retrieval-augmented generation strategies with MongoDB Atlas
Optimize AI models for performance and accuracy with model compression and deployment optimization
Book Description
The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you'll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.
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