AI Technology
Technical aspects and implementations of AI systems
Diffusion Models
Machine learning models that generate new data by gradually transforming random noise into structured content.
Generative AI
AI systems that can create new content including text, images, audio, code, and more, based on patterns learned from training data.
Large Language Models (LLMs)
Advanced AI systems trained on vast amounts of text data that can understand, generate, and manipulate human language with remarkable fluency and versatility.
Machine Learning
A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
Natural Language Processing (NLP)
A field of artificial intelligence that enables computers to understand, interpret, and generate human language in a valuable way.
Transformer Models
A type of neural network architecture that uses self-attention mechanisms to process sequential data, revolutionizing natural language processing and other AI applications.