New #AIoT release from @PacktDataML >> Hands-On #AI for #IoT : Expert #MachineLearning and #DeepLearning techniques for developing smarter IoT systems [2nd Edition] See it at http://
amzn.to/3YAu6hS ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ: Leverage the power of Python libraries such as
MACHINE LEARNING
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New Hands-On AI for IoT Book Release Second Edition
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LLM Design Patterns: Building Robust and Efficient AI Systems
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New book from @PacktDataML >> LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems See it at http://
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Gemini Team Achievements in Advanced Reasoning and Mathematics
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Congrats to the whole Gemini team, and especially to those focused on our advanced reasoning and mathematics capabilities! More details in the blog post:
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Gemini Deep Think Achieves Gold Medal Performance at IMO Competition
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We're all excited to see our advanced Gemini Deep Think model achieve a gold-medal level performance in the recent IMO, solving 5 of the 6 problems perfectly (35 of 42 points)! Unlike our entry last year, which first converted the problems to a formal proof language (Lean),
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FourCastNet 3 Achieves Competitive Skill at 6-Hour Resolution
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@shoyer We admire neuralGCM and all the contributions you are making for AI+climate modeling. Social media doesn't allow for too much nuance – what I meant to say was FourCastNet 3 is unprecedented in offering competitive skill at 6-hour resolution, with probabilistic estimates -
LLM hallucination and loss of summary context
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Itโs truly insane tbh later turns canโt even see a summary, and hallucinate around this fact. โHow did you get that answer?โ silently elicits a response to โHow do you imagine you could have gotten that answer?โ with no admission the information requested is actually lost.
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Continuous Learning and Personalization in AI Systems
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In principle I agree, but in practice we have a small niche use case and this (taste) data won't make it out into the outside world. There'll be millions of people who have different taste requirements and continuous learning for them would be a massive unlock. Yes we can fine
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In-context learning and competitive performance in systems
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+1 Two points
1) this is really just good old in context learning
2) as already mentioned, another system without this also scored gold. -
AI Struggles with 2D Grid-Based Square Problems
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I hear AI *hates* problems based on 2D grids of squares
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Outrageous RL Research Integrated Into New Model
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Yes some of our outrageous RL research landed in this model!!! #vagueposting