Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study
arxiv.org·10h
🧠Machine Learning
Playing with open source LLMs
alicegg.tech·7h
🌀Brotli Internals
From XML to JSON to CBOR
cborbook.com·21h·
Discuss: Lobsters, Hacker News
📋Document Grammar
Critical Findings: Developer Crypto Challenges on Stack Overflow
hackernoon.com·13h
🧪Protocol Fuzzing
Laurence Tratt: Which Parsing Approach?
tratt.net·4h·
Discuss: r/programming
📝Parsing Grammars
Optimizing enterprise AI assistants: How Crypto.com uses LLM reasoning and feedback for enhanced efficiency
aws.amazon.com·20h
✨Effect Handlers
Embeddings & Cosine Similarity Explained Simply
dev.to·2h·
Discuss: DEV
📐Vector Similarity
Show HN: LLM-benchmark – Make LLMs fight for fastest ops/SEC on your code
github.com·9h·
Discuss: Hacker News
🔄Reproducible Builds
HN Tags
paperstack.com·1d
🌀Brotli Internals
Rao Reading Algorithm
raohacker.com·1h·
Discuss: Hacker News
🧠Intelligence Compression
How Spotify Saved $18M With Smart Compression (And Why Most Teams Get It Wrong)
systemdr.substack.com·1d·
Discuss: Substack, r/programming
🌊Streaming Compression
From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
arxiv.org·10h
🦀Rust Macros
So, you're inspecting strings on the hot path
clipperhouse.com·8h·
Discuss: Hacker News
🌳Trie Structures
Show HN: Whisper at 1.58 bits with custom kernels for edge inference
medium.com·1d·
Discuss: Hacker News
📊Quantization
Multilingual Self-Taught Faithfulness Evaluators
arxiv.org·10h
💻Local LLMs
Top 20 Rising GitHub Projects with the Most Stars in 2025
dev.to·3h·
Discuss: DEV
🔓Open Source Software
Graded Transformers: A Symbolic-Geometric Approach to Structured Learning
arxiv.org·10h
🤖Grammar Induction
Show HN: Same prompt tested across Replit, Bolt, v0, Lovable and Raq.com
raq.com·51m·
Discuss: Hacker News
⚡Proof Automation
Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?
arxiv.org·10h
⚙️Compression Benchmarking
Flora: Effortless Context Construction to Arbitrary Length and Scale
arxiv.org·10h
🌳Context free grammars