Boxtype—Level Encoding (Devlog Part 2)
inconvergent.net·1d
📦Deflate
Distant Writing: Literary Production in the Age of Artificial Intelligence
papers.ssrn.com·1d·
Discuss: Hacker News
🏛Digital humanities
Translation using deep neural networks – Transformer
aamster.github.io·4d·
Discuss: Hacker News
🧠Neural Codecs
How Distillation Makes AI Models Smaller and Cheaper
quantamagazine.org·15h·
Discuss: Hacker News
📊Quantization
How to run an LLM on your laptop
technologyreview.com·1d·
Discuss: Hacker News, Hacker News
💻Local LLMs
Predicting the Future with Python: My Magic 8-Ball Project
dev.to·1d·
Discuss: DEV
🔗Concatenative Programming
SmartDocs AI - Intelligent Documentation Search with Algolia MCP Server
dev.to·2d·
Discuss: DEV
🌀Brotli Internals
Compliance Minimization via Physics-Informed Gaussian Processes
arxiv.org·4d
🌀Differential Geometry
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
arxiv.org·4d
🧠Machine Learning
Discovering Governing Equations in the Presence of Uncertainty
arxiv.org·4d
🔍Type Inference
Machine Learning Fundamentals: decision trees tutorial
dev.to·3d·
Discuss: DEV
🧠Machine Learning
GeoReg: Weight-Constrained Few-Shot Regression for Socio-Economic Estimation using LLM
arxiv.org·1d
🧠Machine Learning
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
arxiv.org·3d
🌳Context free grammars
Demographic-aware fine-grained classification of pediatric wrist fractures
arxiv.org·1d
🌀Differential Geometry
Mitigating Object Hallucinations via Sentence-Level Early Intervention
arxiv.org·2d
👂Psychoacoustic Coding
On The Role of Intentionality in Knowledge Representation: Analyzing Scene Context for Cognitive Agents with a Tiny Language Model
arxiv.org·4d
🔢Denotational Semantics
Future-proofing brands’ search strategies: harnessing LLMs for enhanced discoverability
techradar.com·16h
👤Search Personalization
LRMR: LLM-Driven Relational Multi-node Ranking for Lymph Node Metastasis Assessment in Rectal Cancer
arxiv.org·3d
🧠Machine Learning
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning
arxiv.org·5d
💻Local LLMs
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·2d·
Discuss: r/MachineLearning
📊Learned Metrics