Tokenization
Tokenization is the process of breaking down a string of…
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Distributed Computing
Distributed computing is a model where components of a software…
Overfitting
Overfitting is a flaw in machine learning where a model…
AI Guardrails
AI guardrails are a set of filters and restraints programmed…
Inference Cost
Inference cost refers to the cost of running an AI…
Few-Shot Learning
Few-shot learning is an AI technique that allows a model…
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…
