On Frame Messages
furretnz.bearblog.dev·12h
⚖️Inference Rules
Mathematical model of memory suggests 7 senses are optimal
skoltech.ru·1d·
Discuss: Hacker News
🧠Memory Models
Access Control Policy Generation from High-Level Natural Language Requirements
dl.acm.org·2d·
Discuss: Hacker News
🛡️Security Type Systems
Fine-Tuning and Aligning Large Language Models: A Guide to SFT, RLHF, and What Comes Next
pub.towardsai.net·1d
📊LR Parsing
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
arxiv.org·2d
💬Interactive REPLs
A small number of samples can poison LLMs of any size
anthropic.com·1d·
Discuss: Lobsters, Hacker News, r/50501
🛡️Parser Security
What is a Large Language Model (LLM)
dev.to·20h·
Discuss: DEV
📊LR Parsing
Show HN: I built a local AI agent desk toy
blog.simone.computer·2d·
Discuss: Hacker News
🌊Reactive Languages
Stress-Testing Model Specs Reveals Character Differences among Language Models
arxiv.org·1d
📋Backus-Naur Form
I built SemanticCache, a high-performance semantic caching library for Go
reddit.com·17h·
Discuss: r/LLM
🐹Go Internals
Activation Alchemist: Sculpting Stability with Functional Signatures
dev.to·17h·
Discuss: DEV
🧠Memory Ordering
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.to·15h·
Discuss: DEV
🗺️Region Inference
Structured Cognition for Behavioral Intelligence in Large Language Model Agents: Preliminary Study
arxiv.org·3d
🎯Finite Automata
I Wrote 42 Books Using ChatGPT: Here's What I Learned About Prompting
dev.to·4h·
Discuss: DEV
💬Interactive REPLs
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
arxiv.org·1d
🌱Minimal ML
The Mind's Mirror
dev.to·2h·
Discuss: DEV
🎭Program Synthesis
[NLD] D1K and DA1K
reddit.com·1d·
Discuss: r/flashlight
🎯Finite Automata
Every single COT terms score.
reddit.com·2h·
Discuss: r/LocalLLaMA
🔤Language Tokenizers
Valid Stopping for LLM Generation via Empirical Dynamic Formal Lift
arxiv.org·2d
🧪Parser Testing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3h·
Discuss: DEV
📊LR Parsing