YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.ai·1d
🎲Parser Fuzzing
How to add fast, client-side search to Astro static sites
evilmartians.com·3d
🏷️Symbol Interning
Falsehoods Vibe Coders Believe About LLMs
wilsonhobbs.com·2d·
Discuss: Hacker News
🔧Scheme Macros
Yet, another Shortener link
github.com·2h·
Discuss: r/selfhosted
🌍Minimal HTTP
Implicit neural image field for biological microscopy image compression
nature.com·1d
🗺️Region Inference
Building a multi-agent financial bot using Agno, Maxim, and YFinance
reddit.com·1d·
Discuss: r/LocalLLaMA
🎭Racket
TransFIRA: Transfer Learning for Face Image Recognizability Assessment
arxiv.org·2d
🌱Minimal ML
rule-router: I built a high-performance rule engine for NATS in Go
reddit.com·2d·
Discuss: r/golang
📋JSON Parsers
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
arxiv.org·1d
🌱Minimal ML
Decentralized Intelligence: Empowering Autonomous Systems with Localized Learning by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
⚡Control Synthesis
New memory framework builds AI agents that can handle the real world's unpredictability
venturebeat.com·2d
🧠Memory Ordering
EVALUESTEER: Measuring Reward Model Steerability Towards Values and Preference
arxiv.org·2d
🔮Metacircular Evaluators
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·7h·
Discuss: DEV
🌊Streaming Lexers
Nicholas Renotte: I Spent 6 Weeks using Reinforcement Learning to Beat This GoDot Game
vibe.forem.com·13h·
Discuss: DEV
🐹Minimal Go
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
arxiv.org·3d
🌱Minimal ML
Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"
arxiv.org·2d
🪜Recursive Descent
That-Real-Time-Headache-Its-Not-The-WebSockets-Its-Your-Framework
dev.to·2d·
Discuss: DEV
🌍HTTP Servers
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
🌊Streaming Lexers
How human is the machine? Evidence from 66,000 Conversations with Large Language Models
arxiv.org·1d
📊LR Parsing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🦀MIR Optimization