Liquid AI Inc., a groundbreaking startup emerging from MIT, has officially introduced its debut generative AI models, which stand out due to their unique underlying architecture. These models, known as Liquid Foundation Models (LFMs), promise exceptional performance that rivals the top large language models currently available. Founded by a distinguished […]
Machine Learning
Machine Learning is a subset of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to perform specific tasks without being explicitly programmed. Instead of following a set of rigid instructions, machine learning systems learn patterns and make decisions based on data inputs. This process involves training models on large datasets, allowing them to improve their performance over time as they are exposed to more data. Machine learning is commonly used in various applications, such as speech recognition, image processing, recommendation systems, and natural language processing, where it enables systems to adapt and become more accurate in their predictions or classifications based on observed trends.