GPUs, module upgrades and more site fixes
markjgsmith.com·12h
🖥️Terminal Renaissance
Clarity
robinsloan.com·3d
🧠Intelligence Compression
Getting a Hypergraph of Functions to a Browser
systeminit.com·2d·
Discuss: Hacker News
📐E-graphs
Context Engineering for Coding Agents
hackernoon.com·1d
🌳Incremental Parsing
LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
docker.com·2d
💻Local LLMs
My First Week of Vibecoding
underreacted.leaflet.pub·1d·
Discuss: Hacker News
🎯Gradual Typing
AI receptionist that answers real phone calls
news.ycombinator.com·1d·
Discuss: Hacker News
🎙️Whisper
Complete Guide to Audio Processing in Python: From Spectrograms to Real-Time Applications
dev.to·22h·
Discuss: DEV
📊Spectral Analysis
Comparing human and language models sentence processing difficulties on complex structures
arxiv.org·3d
🔗Parser Combinators
Exposing Citation Vulnerabilities in Generative Engines
arxiv.org·3d
📜Digital Philology
DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
arxiv.org·2d
🕸️Graph Embeddings
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
arxiv.org·2d
🧠Machine Learning
Seeing the Future: Mastering Action Recognition with Recurrence-Complete Architectures
dev.to·2d·
Discuss: DEV
🌊Streaming Algorithms
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
arxiv.org·6d
🗂️Vector Search
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
arxiv.org·5d
🧠Intelligence Compression
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
🚀 From Rejection to Reinvention: How I Built an AI That Finds My Jobs
dev.to·1d·
Discuss: DEV
🔤EBCDIC Mining
Exponential Error Bounds for Information Bottleneck Source Coding Problems
arxiv.org·2d
📐Compression Bounds
VideoNorms: Benchmarking Cultural Awareness of Video Language Models
arxiv.org·2d
📊Learned Metrics
From Keywords to Clusters: AI-Driven Analysis of YouTube Comments to Reveal Election Issue Salience in 2024
arxiv.org·2d
📊Feed Optimization