Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
IEEE

A Long-Text Charge Prediction Method Based on the Prompt-Qwen-FIT Model: Integrating Few-Shot Learning and Incremental Adaptation Training

Abstract: Charge prediction is a critical task in judicial AI, involving the determination of criminal charges through detailed analysis of case narratives. Existing methods often face high ...
PCMag

With Nvidia's GB10 Superchip, I’m Running Serious AI Models in My Living Room. You Can, Too

I’m a traditional software engineer. Join me for the first in a series of articles chronicling my hands-on journey into AI ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...