Prompting with External Data
Learn techniques to incorporate user-provided or dynamically retrieved data directly into your prompts.
Intro: External Data
Welcome! In this lesson, we'll learn how to make our LLM prompts smarter by including external data. This means feeding information that isn't part of the LLM's training, but is relevant to your specific task.
Think of it as giving the LLM 'fresh eyes' or 'contextual clues' for a particular situation.
Why External Data Matters
Incorporating external data offers several key benefits:
- Accuracy: Provides up-to-date or specific facts an LLM might not know.
- Personalization: Tailors responses to individual users or situations.
- Relevance: Ensures the LLM focuses on the exact information you care about.
- Reduced Hallucinations: Grounds the LLM in real data, making it less likely to make things up.
All lessons in this course
- Prompting with External Data
- Retrieval Augmented Generation (RAG)
- Vector Databases for Prompting