Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
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๐Ÿง Learned Indexing
Falsehoods Vibe Coders Believe About LLMs
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๐Ÿ’งLiquid Types
๐Ÿš€ Hello DEV Community! Iโ€™m Thiyagarajan Varadharajan โ€“ Python Full Stack Developer | AI Enthusiast
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๐ŸŒ€Brotli Internals
ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL
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๐Ÿ”ฒCellular Automata
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
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๐ŸŒ€Brotli Internals
Ethical AI Oversight for Predictive Genetic Counseling: A Framework for Algorithmic Fairness & Patient Trust
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โš–๏ธHoare Logic
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
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๐Ÿง Machine Learning
Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought
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๐Ÿ”ฒCellular Automata
MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction
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๐Ÿ’ปLocal LLMs
Improving Metacognition and Uncertainty Communication in Language Models
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๐Ÿง Intelligence Compression
Neural Network-Based Anomaly Detection in CI/CD Pipelines: A Technical Overview
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๐Ÿง Learned Compression
Python 3.14: Cool New Features for You to Try
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๐ŸŒณIncremental Parsing
A tiny recursive reasoning model achieves 45% on ARC-AGI-1 and 8% on ARC-AGI-2
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๐Ÿง Intelligence Compression
Cost Efficient Fairness Audit Under Partial Feedback
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๐ŸŒธBloom Variants
Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields
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๐ŸŒ€Differential Geometry
Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning
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๐Ÿ”ฒCellular Automata
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
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๐Ÿง Intelligence Compression