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
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50 ML Projects to Understand LLMs via Data Analysis and Visualization
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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
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Book: Build a Large Language Model from Scratch by Raschka
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<<💡Best Seller🚀>>
— Kirk Borne (@KirkDBorne) 15 juin 2026
Build a Large Language Model (From Scratch): https://t.co/vvahfx1VTv by @rasbt v/ @ManningBooks
—————#DataScience #DataScientist #MachineLearning #ML #DeepLearning #LLMs #AI #GenAI https://t.co/MbmiX2Olme pic.twitter.com/7My9FOhSJl<>
Build a Large Language Model (From Scratch): https://
amzn.to/3WYFNO5 by @rasbt v/ @ManningBooks —————
#DataScience #DataScientist #MachineLearning #ML #DeepLearning #LLMs #AI #GenAI -
LLaVA-OneVision-2 tokenizes video like codec, focusing on key moments
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What if your AI could “see” video like a streaming codec—spending tokens only on the most important moments? Introducing LLaVA-OneVision-2 from Glint Lab, AIM for Health Lab, and MVP Lab. Their secret? Codec-stream tokenization: video is treated as a continuous bit-cost
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LLM Wiki: future AI memory replaces retrieval with compilation
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
TownAI and similar tools gather data from computer
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I use @TownAI and a few others that work the same. Gathers all that from my computer.
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Deep Learning with TensorFlow and Keras 3rd Edition Book
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Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML