Constructing a RAG Prompt
You are building a question-answering system. Given the components below, construct a single, complete prompt that follows the standard structure for this task. Your prompt must integrate all three necessary elements: a guiding instruction, the user's query, and the provided information.
- User's Query: "What is the primary function of a transformer's self-attention mechanism?"
- Retrieved Information: "The self-attention mechanism allows a model to weigh the importance of different words in an input sequence when processing that sequence. It helps the model to understand context and relationships between words, even if they are far apart."
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Creation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
Example Prompt Instruction for Faithfulness and Abstention
A developer is constructing a message to send to a large language model to answer a user's question based on a retrieved document. The developer has the following three components:
- The Instruction:
You are a helpful assistant. Answer the user's question based *only* on the provided text. If the information is not in the text, state that the answer cannot be found. - The User's Question:
What is the boiling point of ethanol? - The Retrieved Context:
Ethanol, a volatile, flammable, colorless liquid, has a boiling point of 78.37 °C.
Which of the following arrangements of these components creates the most effective and logically structured message for the model to process and follow the instructions correctly?
- The Instruction:
Diagnosing a Faulty Q&A System Prompt
Task Definition and Grounding in RAG Prompts
Constructing a RAG Prompt