Instruction-TuningInstruction-Tuning (often called Supervised Fine-Tuning or SFT) is a machine learning technique used to further train a pre-trained Large Language Model (LLM) on a dataset of (Instruction, Output) pairs. While a base model is only trained to predict the "next most likely word" in a sequence, Instruction-Tuning specifically teaches the model how to act as a responsive assistant that can follow human commands.
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Intelligence AmplificationIntelligence Amplification (IA) also referred to as Cognitive Augmentation or Machine-Augmented Intelligence is the use of information technology to enhance or "amplify" human intelligence. Unlike Artificial Intelligence, which aims to create an autonomous machine that acts as an independent "brain," IA focuses on the Human-in-the-Loop (HITL) model. Read More
Intent DiscoveryIntent Discovery is the automated process of analyzing historical conversation logs from chatbots, call center transcripts, or emails to identify new, previously unknown user goals or patterns of behavior. Read More
Inter-System OrchestrationInter-System Orchestration is the high-level coordination and management of automated workflows that span across multiple independent platforms, applications, and infrastructure environments. Unlike basic automation (which handles single tasks) or intra-system orchestration (which manages tasks within one app), Inter-System Orchestration acts as the "General Contractor" for the entire digital ecosystem.
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InterpretabilityInterpretability refers to the degree to which a human can observe the internal mechanics of an AI model and understand exactly how it arrives at a decision. It is a fundamental property of the model’s architecture. Read More
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