Redis and AI Agent Memory with Andrew Brookins
softwareengineeringdaily.com·1h
🌊Streaming Systems
How AI Chatbots May Be Fueling Psychotic Episodes
scientificamerican.com·1d
🔍Vector Forensics
The defense against slop and brainrot - by Paul Jun
pauljun.substack.com·1d·
Discuss: Substack
🧠Intelligence Compression
Vibe Revenue – a mirage of AI success
paid.ai·13h·
Discuss: Hacker News
🌊Streaming Systems
Chaos or comfort: a reflection on the engineer's quest
carette.xyz·17h·
Discuss: Hacker News
🔐Capability Systems
Safe Is What We Call Things Later: Some Software Engineering Folklore
worksonmymachine.ai·1d·
Discuss: Hacker News
⚙️Proof Engineering
Supervised Learning: A Focus on Classification
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Dynamic Network Emulation via Hyperparameter Adaptive Reinforcement Learning
dev.to·3d·
Discuss: DEV
📡Network Calculus
Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs
arxiv.org·1d
🏛Digital humanities
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
arxiv.org·1d
🔗Constraint Handling
NEAT: Concept driven Neuron Attribution in LLMs
arxiv.org·1d
💻Local LLMs
Quantifying Out-of-Training Uncertainty of Neural-Network based Turbulence Closures
arxiv.org·6h
📊Quantization
Alternating Training-based Label Smoothing Enhances Prompt Generalization
arxiv.org·6h
📊Learned Metrics
ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning
arxiv.org·6h
🧠Intelligence Compression
Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model
arxiv.org·6h
🗂️Vector Databases
CarboNet: A Finite-Time Combustion-Tolerant Compartmental Network for Tropospheric Carbon Control
arxiv.org·6h
🧮Algorithmic Cooking
UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction
arxiv.org·1d
🌀Differential Geometry
Physics-Based Explainable AI for ECG Segmentation: A Lightweight Model
arxiv.org·1d
🧠Machine Learning
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
arxiv.org·1d
🧠Machine Learning
Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers
towardsdatascience.com·16h
🌍Cultural Algorithms