Techniques
What is Zero-shot Learning?
The ability of a model to perform a task without having seen any specific examples of that task during training.
LLMs exhibit zero-shot capabilities when they can translate a language or write code based solely on a description of the task, without needing specific training examples for that exact scenario.
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Retrieval-Augmented Generation (RAG)
A technique that enhances the accuracy and reliability of generative AI models with facts fetched from external sources.
Prompt Engineering
The practice of designing inputs for AI models to produce optimal outputs.
Fine-tuning
The process of training a pre-trained model on a smaller, specific dataset to adapt it for a particular task.