7 AI Terms You Need to Know: Agents, RAG, ASI & More

Martin Keen breaks down seven essential AI terms that developers and engineers should know. The discussion includes Explainable AI, which focuses on making AI decision-making processes transparent and understandable. AI Agents, RAG (Retrieval-Augmented Generation), and ASI (Artificial Superintelligence) are also covered, providing a comprehensive overview of current and future AI technologies. The explanation incorporates tools and concepts such as reasoning models, vector databases, and MCP (presumably a model compression or processing technique), highlighting their roles in creating smarter and more scalable AI systems.

Understanding these terms and technologies is crucial for developers aiming to build advanced AI applications. Reasoning models enable AI to make inferences and solve complex problems, while vector databases facilitate efficient storage and retrieval of high-dimensional data for tasks like similarity search. MCP, though not fully defined in the context, suggests an optimization or efficiency component important for deploying AI models in resource-constrained environments. This knowledge equips engineers to leverage AI innovations effectively.