From raw text to training gold: How to collect and prepare data for custom LLMs
pub.towardsai.net·8h
🔄MLOps
Flag this post
'No Free Lunch: Deconstruct Efficient Attention with MiniMax M2'
lmsys.org·2d
📱Edge AI
Flag this post
Enhancing riverine cyanobacterial bloom prediction: A hybrid deep learning approach combining wavelet decomposition, double-layer LSTM, ARIMA, and residual comp...
sciencedirect.com·11h
📱Edge AI
Flag this post
Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
arxiv.org·1d
👁️Computer Vision
Flag this post
Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·21h
🔄MLOps
Flag this post
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
arxiv.org·1d
📱Edge AI
Flag this post
Unlocking Logic's Secrets: BoolSkeleton – Streamlining Boolean Networks for Peak Performance by Arvind Sundararajan
⚙Systems Programming
Flag this post
Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees
arxiv.org·21h
📊Embeddings
Flag this post
Geometric Data Valuation via Leverage Scores
arxiv.org·21h
👁️Computer Vision
Flag this post
Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
arxiv.org·1d
📱Edge AI
Flag this post
Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·2d
📊Embeddings
Flag this post
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
arxiv.org·21h
📱Edge AI
Flag this post
Aligning Brain Signals with Multimodal Speech and Vision Embeddings
arxiv.org·1d
📱Edge AI
Flag this post
Loading...Loading more...