BREAKING : Mistral AI released Saba, a new 24B parameter model that excels in Arabic and Indian dialects. Hyperlocal small models are the future? In general, it covers an interesting niche market
LLMS
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Comparing Reasoning Models: Call for Transparency Between xAI and OpenAI
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I'm genuinely curious, as I'm currently comparing different reasoning modeling approaches. It would also be nice if we had answers to these questions, making xAI as open as DeepSeek rather than as closed as OpenAI.
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Large Reasoning Models Excel at Competitive Programming Tasks
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Competitive Programming with Large Reasoning Models El-Kishky et al.: https://
arxiv.org/abs/2502.06807 #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
31 Production-Ready RAG Implementations with LangChain
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Advanced RAG Techniques Discover a powerful collection of 31 production-ready RAG implementations, from basic to advanced, built with LangChain. Each technique comes with detailed documentation and practical code examples to enhance your RAG systems. Level up your RAG
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Karpathy praises ChatGPT 4o’s new conversational personality improvements
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Actually I quite like the new ChatGPT 4o personality, whatever they did. – it's a lot more chill / conversational, feels a bit more like talking to a friend and a lot less like to your HR partner
– now has a pinch of sassy, may defend itself e.g. when accused of lying
– a lot of -
Scale AI Launches Enigma Eval Leaderboard and Research Paper
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Site: https://
scale.com/leaderboard/en
igma_eval
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Paper: https://
static.scale.com/uploads/654197
dc94d34f66c0f5184e/EnigmaEvalv4.pdf
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Top AI Models Evaluation: Multi-modal Capabilities and API Access
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We started by evaluating all top models with:
* multi-modal capabilities
* released via API We will of course be adding new models as they become available (o3-mini, o3-mini-high, o3, deepseek-r1, etc.). The frontier of AI reasoning is wide open. Let’s push it. -
Scale AI and CAIS Release EnigmaEval Challenging Reasoning Benchmark
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On the heels of Humanity's Last Exam, @scale_AI & @cais have released a new very-hard reasoning eval: EnigmaEval: 1,184 multimodal puzzles so hard they take groups of humans many hours to days to solve. All top models score 0 on the Hard set, and <10% on the Normal set
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Inquiry About Reasoning Implementation Methods in AI Models
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Any chance there'll be some info whether and how reasoning is implemented? E.g.,
(1) Inference-time scaling
(2) pure RL
(3) RL + SFT
(4) SFT/Distillation-based reasoning?
(5) 1 + 3?
