Happy holidays everyone! What would you want to see more from @huggingface in 2025?
MACHINE LEARNING
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Post-Transformer Architectures: SSMs vs RWKV Comparison
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## The Best of 2024 in Post-Transformers Arch We're very honored to feature a special joint talk between rival teams working on subquadratic attention: – @realDanFu of @togethercompute (SSMs)
– @picocreator of @recursal_AI (RWKV) @RWKV_AI If you're looking to catch up on the -
Automating Discovery of Artificial Life with Foundation Models
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Automating the Search for Artificial Life with Foundation Models https://t.co/zxH6emy90j
— hardmaru (@hardmaru) 24 décembre 2024
We propose a new method called Automated Search for Artificial Life (ASAL) which uses foundation models to automate the discovery of the most interesting and open-ended artificial lifeforms. https://t.co/8uwOojbx8pAutomating the Search for Artificial Life with Foundation Models https://
asal.sakana.ai/paper/ We propose a new method called Automated Search for Artificial Life (ASAL) which uses foundation models to automate the discovery of the most interesting and open-ended artificial lifeforms. -
ASAL: Automating Artificial Life Search with Foundation Models
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Introducing ASAL: Automating the Search for Artificial Life with Foundation Modelshttps://t.co/uUq63UNrjv
— Sakana AI (@SakanaAILabs) 24 décembre 2024
Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our… pic.twitter.com/kTKXI1j6liIntroducing ASAL: Automating the Search for Artificial Life with Foundation Models https://
sakana.ai/asal/ Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our -

MIT Poker Theory Analytics: AI Machine Learning Applications
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Poker Theory and Analytics | Sloan School of Management | MIT OpenCourseWare https://
bit.ly/3ZyBfQq
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

Introduction to Statistical Learning Textbook Revised and Updated Edition
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Brilliant classic textbook, revised and updated — Introduction to Statistical Learning, with Applications in R: http://
amzn.to/3mpECFT
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#BigData #DataScience #AI #MachineLearning #StatisticalLearning #Statistics #Mathematics #Algorithms #Rstats #Coding #DataScientists -
The Dawn of AIoE: Artificial Intelligence of Everything
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The Dawn of AIoE: Artificial Intelligence of Everything
#AI #AIio #BigData #ML #NLU #Futureofwork @TopCyberNews @SpirosMargaris @MarshaCollier @MHiesboeck
@MHcommunicate @Fisher85M @MikeQuindazzi @NealSchaffer -
Manual Feature Extraction and Count Vector Representations in ML
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Oh I see what you mean. Here human experts don’t necessarily extract the features. What I meant was more like humans came up with the idea that count vectors are a good representation (vs inputting the raw sentence). Ie here with manual feature extraction I mean the
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AI and Machine Learning in Financial Trading Strategies
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"Mastering Financial Trading — A Deep Dive into #AI, Investment, Robot Trading, and Arbitrage Strategies": http://
amzn.to/42X1Erv by @alisermettas at @ArbitAI_ARBIT
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#AlgorithmicTrading #DataScience #MachineLearning #ReinforcementLearning #Fintech -
DeepSeek Introduces Flash Thinking Model for Advanced AI Reasoning
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“Flash Thinking (our first ‘thinking’ model, expect a lot more news on this soon – as many of you remember, we pioneered this type of model with AlphaGo, AlphaZero, AlphaProof…)”