Show HN: Linguistic RL – A 7B model discovers Occam's Razor through reflection
github.com·8h·
Discuss: Hacker News, r/LocalLLaMA
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Deep Learning Without Training
zenodo.org·4h·
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DS-STAR: A state-of-the-art versatile data science agent
research.google·1d·
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Patterns for Building a Scalable Multi-Agent System
devblogs.microsoft.com·1h·
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·1d·
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The Curved Spacetime of Transformer Architectures
arxiv.org·1d·
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Reasoning with Sampling: Your Base Model Is Smarter Than You Think
aakaran.github.io·1d·
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·17h·
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Continuous Autoregressive Language Models
shaochenze.github.io·2d·
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Harness the Power of Atlas Search and Vector Search with $RankFusion
mongodb.com·1d·
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Show HN: Pingu Unchained an Unrestricted LLM for High-Risk AI Security Research
pingu.audn.ai·2h·
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AI's capabilities may be exaggerated by flawed tests, according to new study
nbcnews.com·1d·
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GEN-0: SoTA 10B+ Foundation Model for Robotics with Harmonic Reasoning
generalistai.com·3d·
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Improving agent with semantic search Semantic search significantly improves coding agent performance with 12.5% higher accuracy, improves code retention and dec...
cursor.com·1d·
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Automating error analysis for AI agents – what works and doesn't
atla-ai.com·3d·
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AI Agent Guides from Google, Anthropic, Microsoft, etc. Released This Week
sarthakai.substack.com·1d·
Discuss: Substack
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Generalizing Test-Time Compute-Optimal Scaling as an Optimizable Graph
huggingface.co·2d·
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Run LLMs Locally
ikangai.com·2d·
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Generation of antigen-specific paired-chain antibodies using LLMs
sciencedirect.com·1d·
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Benchmarking the Most Reliable Document Parsing API
tensorlake.ai·1d·
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