Artificial General Intelligence (AGI) is a broad and ambitious field of Artificial Intelligence that aims to create machines with intellectual abilities comparable to or in excess of those of humans. AGI systems are designed to perform a wide range of tasks and exhibit intelligent behavior across multiple domains, mirroring the versatility and adaptability of the human mind. The ultimate goal of AGI is to build systems that can think, learn, and reason like humans, possessing the capacity for independent problem-solving and creativity.
There is an ongoing debate about how to determine whether a system has achieved AGI. Some researchers propose metrics such as the Turing Test, which evaluates a machine's ability to exhibit intelligent behavior indistinguishable from that of a human. Others argue for more nuanced assessments that consider a system's capacity for generalization, creativity, and self-improvement.
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.