Quantization
Quantization is a model compression technique that reduces the precision…
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Parameter-Efficient Fine-Tuning (PEFT)
Parameter-efficient fine tuning is a set of techniques that adapt…
Foundation Model
A foundation model is a very large machine learning model…
Model Drift
Model drift occurs when a machine‑learning model slowly loses accuracy…
Knowledge Graph
A knowledge graph refers to a structured map of information…
Federated Learning
Federated learning is a decentralized machine-learning approach where models are…
Model Fine-Tuning
Model fine-tuning refers to the process of adapting a pre-trained…
Multimodal AI
Multimodal AI refers to AI systems that are capable of…
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation, also referred to as RAG, is an information…
Explainable AI
Explainable AI, also known as XAI, refers to the techniques…