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Supercomputing for AI: foundations, architectures, scaling deep learning
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Basic Mathematical Foundations of AI — Hands on with Python: http://
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Graph Neural Networks books and Python implementation guide
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Master Supervised Learning Concepts with “Machine Learning Foundations, Volume 1”
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"Machine Learning Foundations, Volume 1: Supervised Learning" – available at http://
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Identifying Financial Blind Spots in Autonomous AI Agents
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When your instructions are taken literally, you may not get the outcome you expected. Is your AI (Gen AI / Chatbot / AI Agent) doing what you mean or exactly what you say? Find those blind spots in your AI: https://
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… Image source: https://
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50 ML Projects for Understanding LLM and Transformer Mechanisms
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
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