Scaling Laws for LLM Based Data Compression
lesswrong.com·11h
📝Text Compression
Trainable Dynamic Mask Sparse Attention
arxiv.org·14h
🧠LLM Inference
NeuralMorse – Reinventing Morse Code with Neural Networks
masatohagiwara.net·27m·
Discuss: Hacker News
📝Text Compression
Principal Component Analysis (PCA) is the gold standard in dimensionality reduction.
threadreaderapp.com·3h
📊Vector Clustering
LeetCode #70: Climbing Stairs
anmoltomer.bearblog.dev·14h
🧮SMT Solvers
Real-time neural video codec – 100 FPS 1080p and 4K videos
github.com·12h·
Discuss: Hacker News
🔬RaBitQ
Welcome GPT OSS, the new open-source model family from OpenAI!
huggingface.co·18h
📱Edge AI Optimization
SAT Requires Exhaustive Search
link.springer.com·22h·
Discuss: Hacker News
🧮SMT Solvers
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·14h
🧠LLM Inference
Context Guided Transformer Entropy Modeling for Video Compression
arxiv.org·14h
📊Embeddings
Open Sourced: ML Interview Questions and Job List (Ranked by Comp and Culture)
github.com·1h·
Discuss: Hacker News
🧠LLM Inference
E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation
arxiv.org·14h
📊Embeddings
Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels
arxiv.org·14h
ℹ️Information Theory
Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge
arxiv.org·14h
🧠LLM Inference
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
arxiv.org·14h
🧠LLM Inference
Attention was never enough: Tracing the rise of hybrid LLMs
ai21.com·6h·
Discuss: Hacker News
🧠LLM Inference
Simple Methods Defend RAG Systems Well Against Real-World Attacks
arxiv.org·14h
💾Persistence Strategies
Accelerating multiparametric quantitative MRI using self-supervised scan-specific implicit neural representation with model reinforcement
arxiv.org·14h
📊Embeddings
Hessian analysis with JAX: a platform-agnostic, high-performance approach
lesswrong.com·13h
🕯️Candle
Dataset Condensation with Color Compensation
arxiv.org·14h
📊Embeddings