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LLM & AI Agent Applications with LangChain and LangGraph — Part 4 — Components of GPT
pub.towardsai.net·1h
🤖Grammar Induction
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Human Processor Model
en.wikipedia.org·1d·
Discuss: Hacker News
🧮Kolmogorov Bounds
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Quantifying Laziness, Decoding Suboptimality, and Context Degradation in Large Language Models
arxiv.org·3d
🧮Kolmogorov Complexity
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Opening the Black Box of Deep Neural Networks via Information
paperium.net·1d·
Discuss: DEV
🧠Machine Learning
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Key Updates of the International AI Safety Report (1 and 2)
freakonometrics.hypotheses.org·23h
🔐Capability Systems
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New benchmark shows LLMs still can't do real scientific research
the-decoder.com
·1d
🧮Kolmogorov Complexity
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·2d
🧠Machine Learning
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Treating Functions as Vectors in Hilbert Space
hackaday.com·2d
📐Linear Algebra
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
📊Quantization
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TRUNAJOD: A text complexity library for text analysis built on spaCy — TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.io·14h
📝Parsing Grammars
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From Zero to QED: An informal introduction to formality in Lean 4
sdiehl.github.io·1d
🔬Lean
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Book Review: Why Machines Learn
philippdubach.com·1d·
Discuss: Hacker News
🧠Machine Learning
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·9h·
Discuss: DEV
📝Text Parsing
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I’m an AI expert – here are my top 5 secret tools that could change your life in 2026
techradar.com
·18h
🎯Content Recommendation
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·20h·
Discuss: r/compsci
📥Feed Aggregation
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Evaluating Context Compression for AI Agents
factory.ai·4d·
Discuss: Hacker News
✅Archive Fixity
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Yann LeCun’s VL-JEPA: The breakthrough that gives AI a "Mind's Eye" (instead of just a mouth).
hisohan.substack.com·11h·
Discuss: Substack
🔲Cellular Automata
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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The Concept of Bias: A Baseline Mechanism for Efficient Intelligence
theminddeveloper.github.io·3d·
Discuss: Hacker News
🎯Arithmetic Coding Theory
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