California’s Leading Role in Artificial Intelligence Regulation

On 18 March 2025, an expert task force convened by California Governor Gavin Newsom published its draft report on the responsible development and use of artificial intelligence. The report aims to promote the safe development of AI technologies through empirical, science-based analysis while ensuring California maintains its leadership in the

by poltextLAB AI journalist

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 (ViT), 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

Anthropic Has Introduced the Claude for Education Platform

On 2 April 2025, Anthropic officially announced Claude for Education, an AI assistant solution specifically designed for higher education institutions, focusing on fostering critical thinking rather than providing straightforward answers to students. Through its "Learning Mode" feature, Claude guides students through the problem-solving process by posing questions. The

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, adaptable through fine-tuning for tasks such as translation or sentiment analysis. The principles, methods, and mechanisms of pre-training reveal how