The article highlights the complexity of artificial intelligence (AI) language, emphasizing the need for a glossary to clarify important terms. It explains the concept of AI agents, which can autonomously complete tasks using various AI technologies, and stresses that different definitions exist within the field. Additionally, the article discusses chain-of-thought reasoning in large language models, which breaks down problems into smaller steps for better accuracy. The glossary will be updated regularly to include new terms and definitions as the AI landscape evolves.
Artificial intelligence is a deep and convoluted world. The scientists who work in this field often rely on jargon and lingo to explain their work.
An AI agent uses AI technologies to perform tasks on your behalf, beyond what basic AI chatbots can do, acting as an autonomous system.
Chain-of-thought reasoning for large language models means breaking down a problem into smaller, intermediate steps to improve the quality of the end result.
We will regularly update this glossary to add new entries as researchers uncover novel methods in the field of artificial intelligence.
Collection
[
|
...
]