Causal AI is a branch of artificial intelligence focused on understanding and determining cause-and-effect relationships rather than merely identifying patterns or correlations.
ReACT and function calling agents represent two distinct but powerful approaches to extending the capabilities of LLMs, each with its own strengths and weaknesses.
Composite AI refers to an advanced AI approach that integrates multiple artificial intelligence (AI) technologies to create a more sophisticated, flexible, and intelligent system.
Advanced RAG builds upon the basic principles of naive RAG by incorporating more sophisticated techniques to enhance retrieval accuracy and contextual relevance.
AI-ready data refers to data that is well-prepared and structured in a manner that maximizes its effectiveness for use in artificial intelligence (AI) applications.
A multi-agent system (MAS) comprises several autonomous agents that work together to achieve specific goals.
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