2nd Edition, 746 pages, massive! Modern #ComputerVision with #PyTorch #DeepLearning — from practical fundamentals to advanced applications and #GenerativeAI: http://
amzn.to/3xAkB7X v/ @PacktDataML ——
#DataScience #MachineLearning #AI #ML #GenAI #DataScientist
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𝓚𝓮𝔂
GENERATIVE AI
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Modern Computer Vision with PyTorch Deep Learning Second Edition
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LLM Engineer’s Handbook: Master Large Language Models from Concept to Production
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LLM Engineer's Handbook — Master the art of engineering Large Language Models #LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
Machine Learning Solutions Architect Handbook: Practical Strategies and Best Practices
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#MachineLearning Solutions Architect Handbook — Practical Strategies and Best Practices in the #ML Lifecycle, System Design, #MLOps, and Generative AI: http://
amzn.to/4bx8t6b via @PacktDataML ——————
#DataScience #DataScientist #AI #GenAI #GenerativeAI #LLMs #LLMOps -
Shared Memory Layers for Multi-Agent AI Platforms
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updated summary of responses (again with chatgpt, sorry for any misses or mistakes): (Part 1 of 2) Agent Platforms, OS & Memory Layers @christinetyip is building a shared memory layer so many agents can access a single, cohesive memory; @ankurdorroy
’s @getsubstrate adds -
Stable Diffusion: A Retrospective on Naming and Legacy
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In hindsight, Stable Diffusion was actually a good one. Sure, didn't end well, but the name itself wasn't a bad choice.
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The Shift Toward Agentic AI Workflows and Small Models
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TL;DR: Stop chasing size. The value is agentic AI = small models that plan, use tools, self-check, and work as a team. Proof > hype: JPM ~30% cost cuts; market $5.1B → $69B by 2032. Ship workflows, not weights. Use open-source + edge to slash cost. Build for dual-use where
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The Agent Stack: A New Architectural Standard for AI
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The agent stack (the new default): Reflection → the model critiques and fixes its own output Tool Use → APIs, code, search, databases; the model leverages the whole digital world Planning → break a goal into steps; execute and adapt Multi-Agent → specialists (researcher,
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The Shift from Giant Models to Agentic AI Systems
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99% of teams will spend the next 12 months chasing bigger models. The 1% wiring agentic systems will take your users, your margins, and your roadmap. Andrew Ng’s point is blunt: the “giant models” era is fading. The future is Agentic AI — small, specialized models that plan, use
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RoPE Encoding: Technical Discussion on Language Models
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these models don’t use RoPE but you’re probably directionally correct
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GPT-5 Output Quality Comparison and Visual Results
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It's pretty good – the one I got out of regular GPT-5 is slightly cleaner but a bit more funny-looking