A year ago, AI could write basic functions. Now it solves multi-step coding challenges and passes actual engineering tests. Of course, bigger models helped. But the bigger shift is in how models learn what a "good answer" means. We used to train AI using Reinforcement Learning
RESEARCH
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NeuroGraph: New Benchmarks for Graph Machine Learning in Brain-Connectomics
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NeuroGraph: Benchmarks for Graph Machine Learning in Brain-Connectomics! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/NeuroGraph -
Educational overview of Transformers and CNNs
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Transformers and Convolutional Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/CNNs-ComputerV
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Mathematical Theory of Deep Learning PDF and Book Update
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Mathematical Theory of Deep Learning [download 333-page PDF]: http://
arxiv.org/abs/2407.18384 *UPDATED*
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See also this book: http://
amzn.to/3BqaW5e
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#AI #DataScience #ML #MachineLearning #DataScientist #Mathematics #Algorithms -
Recommendation for Reinforcement Learning Foundational Textbook
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): http://
amzn.to/3UtbeAa
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#DataScience #AI #MachineLearning #ML #Mathematics #Gamification -
New Practical Guide to RLHF for AI Alignment
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
Deep Learning Applications in Physics Research
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Deep Learning for Physics Research: http://
amzn.to/3ubQWQG
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#DataScientist #AI #MachineLearning #ML #NeuralNetworks #ComputerVision #ObjectDetection #DataScience -
New Book Release on Transfer Learning for Machine Learning Systems
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TRANSFER LEARNING book [390 pages]: http://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
Practical Guide to Building LLM and RAG Apps with LangChain
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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 -
AI Agents and World Models: Research on Predictive Planning
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Can AI agents see into the future before acting? A team from UIUC, THU, JHU, and Columbia tested exactly that. They gave agents generative world models—external simulators that could predict outcomes before taking action. The result? Most agents refuse to simulate (under 1%