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
MACHINE LEARNING
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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 -
Self-Evolving Multi-Agent Systems via Decentralized Memory
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Multi-agent systems typically share a single memory pool, but this causes agents to converge towards the same behavior and leads to a loss of useful specialization. This article attributes to
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Dense Supervision, Sparse Updates in On-Policy Distillation
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"Dense Supervision, Sparse Updates: On the Sparsity and Geometry of On-Policy Distillation" OPD uses dense teacher feedback on student-generated rollouts, so we might expect dense parameter rewriting. However, this paper shows that is not the case. They found that OPD updates
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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://
amzn.to/45Y3LyI v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and Deep -
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