AI Foundations
A curated sequence of foundational AI concepts, from language models and retrieval through tool use, agents, and more autonomous AI systems.
6 terms
AI Foundations connects related concepts in an intentional sequence, moving from core model concepts toward systems that can use tools, pursue goals, and operate with increasing autonomy.
Along this line
6 terms
1.LLMA large language model: an Artificial Intelligence model trained on large amounts of text to understand and generate language.AI & Automation2.RAGRetrieval-augmented generation: a technique that gives an AI model access to external information at request time so it can generate responses using retrieved context.AI & Automation3.Tool CallingA capability that lets an AI model request the use of an external tool, function, API, or service as part of completing a task.AI & Automation4.AI AgentAn Artificial Intelligence system that can pursue a goal by deciding what actions to take, using available tools or information, and responding to the results of those actions.AI & Automation5.Agentic AIArtificial Intelligence systems that can independently pursue goals, make decisions, and take actions in dynamic environments, often with minimal human oversight.AI & Automation6.Autonomous AIArtificial Intelligence systems designed to operate with limited ongoing human direction by making decisions and taking actions toward defined goals.AI & Automation