Serverless: Fast to Market, Faster to the Future • Srushith Repakula • GOTO 2025
youtube.com·1h
🌱Forth Kernels
The ClickFix Factory: First Exposure of IUAM ClickFix Generator
unit42.paloaltonetworks.com·3h
🛡️Parser Security
Learning in Temporally Complex Problems: The Role of External Knowledge
pubsonline.informs.org·1d·
Discuss: Hacker News
🚂Error Propagation
Towards a Typology of LLM Chains-of-Thought
1a3orn.com·1d·
Discuss: Hacker News
🔍ML Language
We built AI to split the monolith
engineering.monday.com·1d·
Discuss: Hacker News
🎭Program Synthesis
Behavior Best-of-N achieves Near Human Performance on Computer Tasks
lesswrong.com·2d
🏰Capability Machines
**Netflix Movie Recommendation using Multi-Armed Bandit Algo
dev.to·20h·
Discuss: DEV
🔍Search Algorithms
Overcoming Data Labeling Challenges for Autonomous Vehicles
future.forem.com·7h·
Discuss: DEV
🧠Semantic Parsing
why & how i learnt ML
abinesh-mathivanan.vercel.app·3d·
Discuss: r/programming
🔍ML Language
Taming the Turbulence: Streamlining Generative AI with Gradient Stabilization by Arvind Sundararajan
dev.to·3h·
Discuss: DEV
✨Gleam
Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
arxiv.org·9h
🔗Graph Rewriting
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
arxiv.org·2d
📋Souffle Datalog
Training Dynamics of Parametric and In-Context Knowledge Utilization in Language Models
arxiv.org·2d
🪜Recursive Descent
QGraphLIME - Explaining Quantum Graph Neural Networks
arxiv.org·9h
🔗Graph Rewriting
Top 7 AI Software Development Agents
dev.to·1d·
Discuss: DEV
🎭Program Synthesis
TS-Reasoner: Aligning Time Series Foundation Models with LLM Reasoning
arxiv.org·1d
🔍ML Language
AI-Driven Predictive Maintenance for ECDIS Utilizing Bayesian Filtering and Stochastic Optimization
dev.to·1d·
Discuss: DEV
🚂Error Propagation
H-DDx: A Hierarchical Evaluation Framework for Differential Diagnosis
arxiv.org·1d
🏗️MLIR
NEURODNAAI: Neural pipeline approaches for the advancing dna-based information storage as a sustainable digital medium using deep learning framework
arxiv.org·2d
📋JSON Parsing
Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics
arxiv.org·2d
🌱Minimal ML