The B2B Sales Funnel as a State Machine: An Engineer's Guide to Revenue Growth
getmichaelai.com·10h·
Discuss: DEV
🎮Language Ergonomics
RND1: Simple, Scalable AR-to-Diffusion Conversion
radicalnumerics.ai·2d·
Discuss: Hacker News
🔬Nanopasses
When AI Remembers Too Much – Persistent Behaviors in Agents’ Memory
unit42.paloaltonetworks.com·1d
📏Linear Memory
Running AI agents in parallel
adityathebe.com·6h
Incremental Parsing
Which is the most ergonomic language for technical interviews?
preview.redd.it·12h·
Discuss: r/rust
🎮Language Ergonomics
Writing regex is pure joy. You can't convince me otherwise.
triangulatedexistence.mataroa.blog·1d·
📝Rope Editors
Defeating Return Type Polymorphism
philipphagenlocher.de·3d·
Discuss: Hacker News
📏Linear Haskell
How Google Translate & ChatGPT Work: The Transformer, Unboxed
dev.to·2d·
Discuss: DEV
📊LR Parsing
A small number of samples can poison LLMs of any size
dev.to·1d·
Discuss: DEV
🎲Parser Fuzzing
Improving Temporal Understanding Logic Consistency in Video-Language Models via Attention Enhancement
arxiv.org·1d
🌳Parser Visualization
Evaluating the Sensitivity of LLMs to Harmful Contents in Long Input
arxiv.org·3d
Incremental Parsing
Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers
arxiv.org·1d
🧪Parser Testing
Automated Fault Isolation & Healing in Linear Control Systems via Multi-Modal Data Fusion & Reinforcement Learning
dev.to·15h·
Discuss: DEV
Control Synthesis
Fine-Tuning and Aligning Large Language Models: A Guide to SFT, RLHF, and What Comes Next
pub.towardsai.net·2d
📊LR Parsing
Which language do you use to write AI prompts?
reddit.com·6h·
Discuss: r/LLM
🎯99-Line Languages
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
arxiv.org·2d
💬Interactive REPLs
What is a Large Language Model (LLM)
dev.to·1d·
Discuss: DEV
📊LR Parsing
Complete Guide to Audio Processing in Python: From Spectrograms to Real-Time Applications
dev.to·8h·
Discuss: DEV
📦Compression Algorithms
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·1d·
Discuss: r/LLM
🐹Go Internals