“Generative AI with Python: The Developer’s Guide to Pretrained LLMs, Vector Databases, Retrieval Augmented Generation, and Agentic Systems” Available at http://
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Generative AI with Python: Developer’s Guide to LLMs, Vector DBs, RAG, Agents
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Explore Top Artificial Intelligence Books for Career Growth
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LLM Engineer’s Handbook: from concept to production guide
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LLM Engineer's Handbook — Master the art of engineering Large Language Models LLMs from concept to production: http://
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Mastering PyTorch: Create and deploy CNN to multimodal models and LLMs
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"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" – http://
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Machine Learning Engineering on AWS: Build AI Agents
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"Machine Learning Engineering on AWS: Build, deploy, and operationalize LLMs, AI agents, and generative AI systems on AWS" — https://
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Graph Machine Learning (2nd Edition): New PyTorch Geometric examples
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Graph Machine Learning — Latest advancements in Graph Data to build robust Machine Learning algorithms (2nd Edition) — at http://
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50 ML Projects to Understand LLMs via Data Analysis and Visualization
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
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Book on building AI-enhanced web apps with LLMs
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Build AI-Enhanced Web Apps: http://
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Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web -
Practical Guide to Building LLM and RAG Apps with LangChain and Python
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"Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python" Get your copy at http://
amzn.to/3MZZ9R5 Independently published: December 2025
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Book: Build a Large Language Model from Scratch by Raschka
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<<💡Best Seller🚀>>
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