IEEE

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications

Abstract: With the advent of 6G communications, intelligent communication systems face multiple challenges, including constrained perception and response capabilities, limited scalability, and low ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
marktechpost

How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
Marketing

Categories of Forecasting Models

• These models are based only on past data. The focus is on using patterns, changes, disturbances, etc. in the data to forecast the future.
IEEE

Sparse-view CT Reconstruction via Implicit Neural Representation Learning Powered by Dual-Domain Vision Foundation Models

Abstract: Sparse-view computed tomography (SVCT) offers the advantages of accelerated scanning and reduced X-ray radiation dose in different clinical applications. However, it faces a challenge due to ...