An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
🤖Machine Learning
Flag this post
DS-STAR: A state-of-the-art versatile data science agent
research.google·14h
📊Data Science
Flag this post
Towards Humanist Superintelligence
microsoft.ai·17h·
Discuss: Hacker News
🤖AI
Flag this post
Essential Chunking Techniques for Building Better LLM Applications
machinelearningmastery.com·21h
📈Optimization
Flag this post
AI Turns Brain Scans Into Full Sentences and It’s Eerie To Say The Least
zmescience.com·17h
🤖AI
Flag this post
Building Data Pipelines That Keep GPUs Fed During LLM Training
pub.towardsai.net·10h
🔬Julia Language
Flag this post
Plush neuron makes AI approachable, simplifies neural networks for middle schoolers
phys.org·7h
🤖AI
Flag this post
Observer-based neural networks for flow estimation and control
arxiv.org·1d
👁️Computer Vision
Flag this post
Algorithmic Fairness Auditing via Dynamic Contrastive Learning in Personalized Recommendation Systems
dev.to·6h·
Discuss: DEV
🤖Machine Learning
Flag this post
Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model
dev.to·1d·
Discuss: DEV
🤖AI
Flag this post
Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
arxiv.org·1d
🤖Machine Learning
Flag this post
Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
arxiv.org·1d
🤖Machine Learning
Flag this post
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
arxiv.org·3h
📈Optimization
Flag this post
Beyond Standard LLMs
magazine.sebastianraschka.com·2d·
Discuss: Hacker News, r/LLM
🤖Machine Learning
Flag this post
MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems
paperium.net·4h·
Discuss: DEV
🤖Machine Learning
Flag this post