YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.ai·1d
📊Feed Optimization
My Top 5 Favourite Features in Python 3.14
blog.codingconfessions.com·11h
🦀Rust Macros
Python PEP 636 – Structural Pattern Matching: Tutorial
peps.python.org·6d·
Discuss: Hacker News
📝Concrete Syntax
Show HN: I built a local AI agent desk toy
blog.simone.computer·3d·
Discuss: Hacker News
🎙️Whisper
Test Case Generation from Bug Reports via Large Language Models: A Cognitive Layered Evaluation Framework
arxiv.org·3d
🔍Concolic Testing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2h·
Discuss: DEV
📊Multi-vector RAG
From Script Chaos to AI-Powered Efficiency: How EchoAPI Transforms Dynamic Variable Generation in API Testing
dev.to·1d·
Discuss: DEV
⚡Proof Automation
LexiCon: a Benchmark for Planning under Temporal Constraints in Natural Language
arxiv.org·3d
🧮Kolmogorov Complexity
Understanding Latent Space: How Meaning Is Represented by AI
dev.to·1h·
Discuss: DEV
🧮Kolmogorov Complexity
Relational Database Distillation: From Structured Tables to Condensed Graph Data
arxiv.org·2d
📊Graph Databases
Beyond Vector Search: Building a RAG That *Actually* Understands Your Data
dev.to·2d·
Discuss: DEV
🗂️Vector Databases
CIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought Reasoning
arxiv.org·1d
🧮Vector Embeddings
The Rise of the Knowledge Sculptor: A New Archetype for Knowledge Work in the Age of Generative AI
arxiv.org·1d
🗺️Competency Maps
Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care
arxiv.org·3d
🔄Archival Workflows
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·8h·
Discuss: DEV
📊Multi-vector RAG
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·35m·
Discuss: DEV
📊Multi-vector RAG
Reviving Lost Tongues: AI-Powered Grammar for Language Preservation
dev.to·3d·
Discuss: DEV
🌳Context free grammars
🧠 Real-Time Smart Speech Assistant with Python, Whisper & LLMs
dev.to·1d·
Discuss: DEV
🎙️Whisper
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
arxiv.org·3d
📝Concrete Syntax
MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
arxiv.org·1d
🧠Learned Codecs