Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. This can include learning from experiences, reasoning through problems, understanding complex data, engaging in Natural Language Processing (NLP) tasks, and adapting to new inputs. AI systems can range from simple, rule-based algorithms to advanced neural networks and deep learning models. The goal of AI is to enable machines to perform tasks that would typically require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI is a foundational technology in various fields, including robotics, autonomous vehicles, and the software industry, where it powers innovations like chatbots, recommendation systems, and predictive analytics.
See also Artificial General Intelligence (AGI).
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.