⚙️ ABNF Mining

Grammar Discovery, Protocol Archaeology, Syntax Extraction, Format Recovery

Cambridge University launches project to rescue data trapped on old floppy disks
tomshardware.com·1h
📼Cassette Archaeology
Show HN: Rebuilt Bible search app to run 100% client-side with Transformers.js
biblos.app·22h·
Discuss: Hacker News
📜Binary Philology
Access Control Policy Generation from High-Level Natural Language Requirements
dl.acm.org·2d·
Discuss: Hacker News
🔒Language-based security
Python 3.12.12, 3.11.14, 3.10.19 and 3.9.24 are now available!
pythoninsider.blogspot.com·1d
🔍Z3 Parsing
LoRA Explained: Faster, More Efficient Fine-Tuning with Docker
docker.com·2d
💻Local LLMs
[R] How to retrieve instructions given to annotators - RLHF
reddit.com·1d·
Discuss: r/MachineLearning
📚Documentation Archaeology
Slip – A Lisp System in JavaScript
lisperator.net·1d·
Discuss: Hacker News
🔗Lisp
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·1d
🔗Parser Combinators
SigmaEval – statistical evaluation for GenAI apps
github.com·3d·
Discuss: Hacker News
🔍Concolic Testing
The Library Method: Understanding @cache
dev.to·1d·
Discuss: DEV
⚡Cache Theory
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·7h·
Discuss: DEV
📊Multi-vector RAG
Show HN: I built a LSP with its own parser to learn Rust
github.com·15h·
Discuss: Hacker News
⚡Dependent Rust
🧠 Real-Time Smart Speech Assistant with Python, Whisper & LLMs
dev.to·22h·
Discuss: DEV
🎙️Whisper
Building a Streaming Data Pipeline with Kafka and Spark: Real-Time Analytics Implementation Guide
dev.to·1d·
Discuss: DEV
🌊Apache Kafka
Understanding Latent Space: How Meaning Is Represented by AI
dev.to·39m·
Discuss: DEV
🧮Kolmogorov Complexity
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·11h·
Discuss: DEV
📊Multi-vector RAG
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org·1d
💻Local LLMs
Automated Fault Isolation & Healing in Linear Control Systems via Multi-Modal Data Fusion & Reinforcement Learning
dev.to·13h·
Discuss: DEV
🛡️Error Boundaries
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3h·
Discuss: DEV
📊Multi-vector RAG
H1B-KV: Hybrid One-Bit Caches for Memory-Efficient Large Language Model Inference
arxiv.org·3d
💨Cache Optimization