Meet Amazon Quick Suite: The agentic AI application reshaping how work gets done
aboutamazon.com·1d·
Discuss: Hacker News
🌊Streaming Systems
AI Reddit Sensational Video Summarizer & Shorts Extractor:
dev.to·18h·
Discuss: DEV
🤖Archive Automation
Increasing LLM response trustworthiness using voting ensembles
arxiv.org·4d
🔍Information Retrieval
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation
arxiv.org·1d
🎯Content Recommendation
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🔨Compilers
From RNNs to ChatGPT: The Paper That Changed How AI Thinks 🤖
dev.to·22h·
Discuss: DEV
🎧Learned Audio
🚀 From Rejection to Reinvention: How I Built an AI That Finds My Jobs
dev.to·10h·
Discuss: DEV
🇨🇳Chinese Computing
[P] PKBoost: Biologically-Inspired Rust Gradient Booster for Drift/Adversarial ML (“Out-of-the-Box” Wins vs XGBoost/LGBM/CB)
reddit.com·1h·
Discuss: r/MachineLearning
⚡Homebrew CPUs
Measuring What Matters: The AI Pluralism Index
arxiv.org·1d
🤖AI Curation
XRPO: Pushing the limits of GRPO with Targeted Exploration and Exploitation
arxiv.org·2d
🎯Performance Proofs
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
arxiv.org·1d
🤖Grammar Induction
OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
arxiv.org·1d
💻Local LLMs
End-to-end testing of Gen AI Apps
dev.to·2h·
Discuss: DEV
🔍Concolic Testing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·53m·
Discuss: DEV
📊Multi-vector RAG
To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models
arxiv.org·1d
📊Learned Metrics
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
arxiv.org·1d
🧮Theorem Proving
A Fuzzy Logic-Based Framework for Explainable Machine Learning in Big Data Analytics
arxiv.org·3d
🧠Machine Learning
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning
arxiv.org·1d
🧠Machine Learning
On the Relationship Between the Choice of Representation and In-Context Learning
arxiv.org·1d
📊Learned Metrics
LinVideo: A Post-Training Framework towards O(n) Attention in Efficient Video Generation
arxiv.org·1d
🧠Learned Codecs