My AlphaMath system rederived every theorem ever proved in a few hours, but they were lost in a vast sea of meaningless ones.
MACHINE LEARNING
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Identical agents with random expertises may converge via Grok
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The agents are actually identical, the names are whimsically applied and their “expertises” are random at inference start. However, there could be a personality convergence and subsequent sticking due to Grok reading about them on 𝕏.
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Foundational Figures in AI Research
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Hinton: The Godfather
Goodfellow: The GANfather
Steinberger: The Clawfather
Schmidhuber: The Real Father -
Technical breakdown of transformer architecture components
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A transformer is a differentiable computer where the residual stream is the memory, attention heads are address registers, and MLPs are ALUs.
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SiameseNorm: Training Efficiency Meets Model Performance
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Why should AI developers have to choose between a model that trains easily and one that performs at the highest level? Researchers from Tsinghua University and Alibaba's Qwen team introduce SiameseNorm to solve this exact dilemma. The method uses a dual-path design that
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Book: Machine Learning Design Patterns for Data Prep and MLOps
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[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: http://
amzn.to/2W7YSy0
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#AI #ML #DataScience #DataScientist -
Book: Agentic Architectural Patterns for Multi-Agent GenAI Systems
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New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at http://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 -
Overview of Distance Metrics for ML and Data Science
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9 Distance Metrics used in #DataScience and #MachineLearning (advantages & pitfalls): https://
maartengrootendorst.com/blog/distances/
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#AI #ML #Statistics #Mathematics #DataScientist #Algorithms
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See 730+ page book "Encyclopedia of Distances" (3rd edition): http://
amzn.to/3skDOWm -
Graph Machine Learning book — updated techniques with PyTorch Geometric
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2nd Edition — now at http://
amzn.to/45Y3LyI v/ @PacktDataML Graph Machine Learning — Latest advancements in Graph Data to build robust #MachineLearning algorithms 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and -
Mathematical Theory of Deep Learning — Paper and Book Links
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Mathematical Theory of #DeepLearning [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 #Calculus #DataScientist #Mathematics #Algorithms