Machine learning is a subset of Artificial Intelligence (AI) that enables software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. It involves the use of algorithms and statistical models to allow computers to learn from and make decisions based on data. Machine Learning encompasses a range of techniques and methodologies, such as supervised learning, unsupervised learning, and reinforcement learning, each with specific applications and use cases. By analyzing and identifying patterns in large datasets, machine learning systems can adapt and improve their performance over time, making it a foundational technology for many predictive and analytical applications in various industries.
The LLM Knowledge Base is a collection of bite-sized explanations for commonly used terms and abbreviations related to Large Language Models and Generative AI.
It's an educational resource that helps you stay up-to-date with the latest developments in AI research and its applications.