What is Prompt Engineering?
The practice of designing inputs for AI models to produce optimal outputs.
Effective prompt engineering involves crafting instructions that guide the model's behavior. Techniques include zero-shot prompting, few-shot prompting, and chain-of-thought prompting. It is a critical skill for developers building AI applications and agents.
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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.
Fine-tuning
The process of training a pre-trained model on a smaller, specific dataset to adapt it for a particular task.
Zero-shot Learning
The ability of a model to perform a task without having seen any specific examples of that task during training.