Glossary category archive for
AI Models
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Fine-Tuning
Read more >: Fine-TuningFine-tuning is the process of taking a pre-trained foundation model and continuing to train it on a smaller, more specific dataset to adapt its behavior for a particular domain, task, or use case. Rather than training a model from scratch — which requires enormous resources — fine-tuning starts from a model that already understands language…
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Multimodal
Read more >: MultimodalMultimodal describes an AI system or model that can process and generate more than one type of input or output, such as text, images, audio, video, or code. A multimodal model is not limited to a single data format. It can reason across multiple types at once, connecting information from an image and a text…
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Foundation Model
Read more >: Foundation ModelA foundation model is a large AI model trained on massive amounts of data that can be adapted for a wide range of tasks. Rather than being built for one specific purpose, it serves as a starting point that other products and applications can build on.
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AI Model
Read more >: AI ModelAn AI model is essentially a mathematical system trained on data to recognize patterns and make predictions, decisions, or generate outputs. At its core, it’s a function that maps inputs to outputs.