Super Study Guide: Transformers & Large Language Models: http://
amzn.to/3SW6YYm by @afshinea & @shervinea Beautifully presented, excellent content, timely, thorough, educational #LLMs #MachineLearning #AI #GenAI #DataScience #DataScientist #GenerativeAI
LLMS
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Super Study Guide for Transformers and Large Language Models
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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://
amzn.to/4od7C1I v/ @PacktDataML 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗟𝗲𝗮𝗿𝗻:
Build and deploy AI agents using Bedrock AgentCore and Strands Agents -
Recent Open Source LLM Rankings: Kimi, GLM, MiniMax
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Recent Opensource LLMs releases rankings for me 1st place: Kimi K2.7 Coding 2nd place: GLM 5.2 3rd place: MiniMax M3
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50 ML Projects book praised for clear projects
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This book perfectly reflects its title "50 ML Projects to Understand LLMs". The entire book consists of exactly that: 50 projects, with tasks and subtasks pleasantly outlined, explained, and presented in a beautifully instructive and consistent style. No extraneous pedagogical
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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://
amzn.to/3P8ztDt via @PacktPublishing @PacktDataML —————
#AI #GenAI #MachineLearning #DataScientist #DataScience -
Book on building AI-enhanced web apps with LLMs
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Build AI-Enhanced Web Apps: http://
amzn.to/4bgux6d
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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 -
The Kaggle Book 2nd Edition: Data Science Competitions and LLMs
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The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, and LLMs [2nd Ed.]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with Kaggle -
Building AI Agents with LLMs, RAG, and Knowledge Graphs
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
LLM book for Neo4j vector search and knowledge graphs
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Available at http://
amzn.to/4l9lLKO This LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation systems. Working knowledge of Python and Java is -
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
Print length: 255 pages