10x your prompting skills with my prompt engineering guide → Mini-course
→ Free resources
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MACHINE LEARNING
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Free Prompt Engineering Guide with Mini-Course and Tips
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TiKMiX: Dynamic Data Influence Mixture for Language Model Pre-training
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TiKMiX Take Data Influence into Dynamic Mixture for Language Model Pre-training
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R-4B: Auto-Thinking MLLMs via Bi-Mode Annealing and RL
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R-4B Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
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EmbodiedOneVision: Vision-Text-Action Pretraining for Robot Control
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EmbodiedOneVision Interleaved Vision-Text-Action Pretraining for General Robot Control
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Physics counting argument for high performance robotics
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Thx for your comments. Re: “Conceptual robotics can largely be solved using data, but high performance robotics cannot….There are reasons and theory behind this insight, that I will return to in some other text.” I’m curious: is there a counting argument from physics?
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Jet-Nemotron and PostNAS Optimize LLM Efficiency-Accuracy Trade-offs
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Jet-Nemotron & PostNAS: Redefining the Efficiency–Accuracy Frontier in LLMs @NVIDIA
’s latest research introduces Jet-Nemotron, a family of hybrid-architecture LMs powered by Post Neural Architecture Search (PostNAS). Instead of costly pretraining from scratch, PostNAS starts -

High School Mathematics Foundations for Data Science Machine Learning
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High school #Mathematics — foundation for #DataScience and #MachineLearning →
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bit.ly/31x9U14
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#AI #ML #DataScientist #Calculus #LinearAlgebra #Probability #Statistics #Python
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Learn Beginning, Intermediate, and Advanced Calculus here: http://
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AI Models Playing Werewolf: Multi-agent Reasoning Benchmark
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Interesting benchmark — having a variety of models play Werewolf together. Requires reasoning through the psychology of other players, including how they’ll reason through your psychology, recursively. Wonder how much fun a mixed human/AI game would be!
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The Unsolved Mystery of How LLMs Simulate Human Thought
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Nous n’avons en réalité pas beaucoup progressé dans l’explication du grand mystère des LLM : Comment un modèle qui utilise simplement des multiplications de matrices pour prédire le mot suivant parvient-il à simuler la pensée humaine au point de reproduire autant de
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Agentic Science: AI as Autonomous Research Partner
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10. Agentic Science This survey introduces Agentic Science as the next stage of AI for Science, where AI evolves from a support tool to an autonomous research partner capable of hypothesis generation, experimentation, and iterative discovery.