Federated SearchFederated Search is a search architecture that allows a user to query multiple disparate data sources such as databases, cloud storage, APIs, and document repositories—simultaneously through a single search interface. Read More
Few-Shot LearningFew-Shot Learning (FSL) is a machine learning approach where a model is designed to recognize and generalize to new tasks after seeing only a very small number of training examples (typically between 1 and 5). Read More
Fine-TuningFine-Tuning is the process of taking a pre-trained "Foundation Model" (which has already learned general language, patterns, or logic from a massive dataset) and performing additional training on a smaller, specialized dataset. This secondary training phase adjusts the model's internal weights to make it an expert in a specific niche, such as legal terminology, medical coding, or a company's internal brand voice. Read More
Foundation ModelA Foundation Model (FM) is a large-scale Artificial Intelligence model trained on a vast and diverse amount of data (usually through self-supervised learning) that can be adapted to a wide range of downstream tasks. Read More
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