"Building Agentic AI Systems: Create intelligent, autonomous AI agents that can reason, plan, and adapt" at http://
amzn.to/4dvxf8Z v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Understand the foundations and advanced techniques of building intelligent, autonomous AI agents
MACHINE LEARNING
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Building Intelligent Autonomous AI Agents: Reasoning, Planning, Adaptation
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Alibaba Releases Qwen3-Next-80B with Optimized Inference Performance
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New on Poe: Qwen3-Next-80B! Alibaba’s latest model brings highly optimized inference → strong tokens/sec throughput + low latency, while still excelling on math & coding benchmarks. (1/2)
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Machine Learning for Tabular Data: XGBoost and Deep Learning Resources
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Give Tabular Data some luv Book — #MachineLearning for Tabular Data: XGBoost, Deep Learning, and #AI — at https://
amzn.to/41J8WA6 Neural Networks for Tabular Data: https://
nature.com/articles/s4158
6-024-08328-6
… GitHub Code: https://
github.com/PriorLabs/TabP
FN
… #AI #DataScience #DataScientist #DeepLearning -
Symbolic AI approach to solving mathematical challenges in AI
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Math is not hard for AI. It’s hard for deep learning. Scale up symbolic AI and math breakthroughs will start tumbling out.
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Deep Learning Math Limitations vs AI Mathematical Capabilities
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Don’t confuse “deep learning can’t do math” with “AI can’t do math”. AI was born doing math.
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AI Opacity Shifts Collaboration to Supplication Dynamic
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As AI systems keep getting better at very hard problems while getting more opaque, the way that we work with AI is shifting from being collaborators who shape the process to being supplicants who receive the output. I discussed what that means.
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Iterative Model Improvement Through Rubric Adjustment and Expert Evaluation
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Iterative improvement: Freeze the model + environment while you tweak the rubric, run agreement evals + collect expert reviews to score, make number go up
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Qwen3-Next-80B-A3B: Efficient MoE Model with Superior Performance
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Qwen3-Next-80B-A3B is out 80B params, but only 3B activated per token → 10x cheaper training, 10x faster inference than Qwen3-32B.(esp. @ 32K+ context!) Qwen3-Next-80B-A3B-Instruct approaches our 235B flagship. Qwen3-Next-80B-A3B-Thinking outperforms
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Majority Not Always Right: RL Training for Solution Aggregation
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The Majority is not always right RL training for solution aggregation
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Simulation of human behaviors by AI using LLM at Google France
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Today, I had the pleasure of presenting at @GoogleFR, to the tech teams of @YouTube and to the partners present, my thoughts, tests and prototyping on the simulation of human behaviors by AI using LLM, and on how this could be applied for