Beyond the Magic: How LLMs Work
🪜Recursive Descent
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GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
🗺️Region Polymorphism
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Toward Machine Interpreting: Lessons from Human Interpreting Studies
machinelearning.apple.com·3d
🎮Language Ergonomics
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Questionnaire meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses
arxiv.org·1d
🌱Minimal ML
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Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
arxiv.org·2d
🌱Minimal ML
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Structurally Valid Log Generation using FSM-GFlowNets
arxiv.org·1d
📊Log Parsers
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Gaperon: A Peppered English-French Generative Language Model Suite
arxiv.org·2d
🔤Language Tokenizers
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Context engineering
💬Interactive REPLs
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Scalable Knowledge Graph Embedding via Adaptive Dimensionality Reduction & Multi-Objective Optimization
🪜Recursive Descent
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Decoding the Language of Data: A Comprehensive Guide to Text Mining in R and Python
🧠Semantic Parsing
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Beyond the Training Data: Why RAG is the AI Superpower You Need
🛠programming language development
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Building "RAG from Scratch". A local, educational repo to really understand Retrieval-Augmented Generation (feedback welcome)
🌱Minimal ML
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The ChatGPT effect: We’ve all started talking like robots
english.elpais.com·1h
📚Factor
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StreetMath: Study of LLMs' Approximation Behaviors
arxiv.org·1d
🌱Minimal ML
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