Using Knowledge Elicitation Techniques To Infuse Deep Expertise And Best Practices Into Generative AI

How can we get AI and LLMs to be domain experts? The prior era of AI devised knowledge elicitation techniques. Those are ...
Deep Learning with Yacine on MSN

What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation ...
Deep Learning with Yacine on MSNOpinion

Can Large Language Models Learn After Training? Explained Simply

Discover whether large language models like GPT can actually learn or update their knowledge after training. This video ...

To maximize AI ROI, train employees to be AI-native

Train your people to be AI-native and give them the infrastructure to thrive. The models will change. The muscle you build ...
IEEE

Soft Actor-Critic Deep Reinforcement Learning for Train Timetable Collaborative Optimization of Large-Scale Urban Rail Transit Network Under Dynamic Demand

Abstract: To address the collaborative issue in large-scale urban rail transit (URT) network operations, this paper proposes an adaptive real-time control framework based on the Soft Actor-Critic (SAC ...
C&EN

Machine Learning, Generalization, and Transfer Learning for Predicting the Exceedance of Fecal Indicator Bacteria Thresholds at Beaches

College of Engineering, Department of Computer Science, University of Illinois Chicago, Chicago, Illinois 60607, United States School of Public Health, Division of Environmental and Occupational ...
IEEE

Learning Causal Representations Based on a GAE Embedded Autoencoder

Abstract: Traditional machine-learning approaches face limitations when confronted with insufficient data. Transfer learning addresses this by leveraging knowledge from closely related domains. The ...