New release from @PacktDataML at http://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" ๐๐บ๐ฎ๐๐ผ๐ป ๐๐๐บ๐บ๐ฎ๐ฟ๐: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning
GENERATIVE AI
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New book: A Practical Guide to Reinforcement Learning from Human Feedback
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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://
amzn.to/40IFEQR via @PacktDataML โโโโโ
#AI #ML #MachineLearning #DataScience #DataScientist #GenAI -
Super Study Guide for Transformers and Large Language Models
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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 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" โ https://
amzn.to/4od7C1I v/ @PacktDataML ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐ ๐ช๐ถ๐น๐น ๐๐ฒ๐ฎ๐ฟ๐ป:
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 โ Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/3P8ztDt via @PacktPublishing @PacktDataML โโโโโ
#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 โ 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 โ A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML