Prompt

In the context of large language models (LLMs), a prompt is the initial input or query provided to the model, serving as the foundation for generating a response. This input can range from a simple question to a complex statement, and it sets the stage for the model's inference process. The prompt is crucial as it guides the model in producing outputs that are not only relevant but also contextually appropriate. The quality and specificity of the prompt can significantly influence the accuracy and coherence of the generated response.

In Retrieval-Augmented Generation (RAG), the role of the prompt is further enhanced by supplementing it with additional information retrieved from external sources. This supplementary data provides a more comprehensive context for the model, allowing it to generate responses that are better grounded in factual information.

By enriching the prompt with relevant data, RAG helps mitigate the risk of hallucinations, where the model might otherwise produce outputs that are not factually accurate.

See you tomorrow!