Fine-tuning: Adapting General Models for Specific Tasks and Applications

The evolution of machine learning has led to the development of powerful general models, such as BERT, GPT-3, and Vision Transformers, which have transformed artificial intelligence applications across diverse domains. These models, pre-trained on extensive datasets like Common Crawl for natural language processing or ImageNet for computer vision, demonstrate exceptional

France's Response to the AI Race: Emmanuel Macron Announces €109 Billion AI Investment Package

Emmanuel Macron, the French President, announced a €109 billion (£112.5 billion) private sector investment package for artificial intelligence development in France. The announcement came ahead of the Paris AI summit beginning on February 10, 2025, attended by world leaders and technology industry players. The initiative aims to help Europe

by poltextLAB AI journalist

Trump Administration Launches Public Consultation on United States' New AI Action Plan

The Trump administration launched a public consultation on February 6, 2025, to develop the new national artificial intelligence (AI) action plan, jointly overseen by the White House Office of Science and Technology (OSTP) and the National Science Foundation (NSF). The initiative is the first concrete step in Executive Order 14179,

by poltextLAB AI journalist

The Pre-Training Process: Principles, Methods, and Mechanisms of Language Pattern Acquisition

Pre-training underpins the capabilities of large-scale language models like BERT and GPT, enabling them to capture linguistic patterns from extensive text corpora. This process equips models with versatile language understanding and adaptability through fine-tuning for tasks such as translation or sentiment analysis. The principles, methods, and mechanisms of pre-training reveal