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Challenge of Developing a Universal Prompting Strategy for RAG
A significant challenge in RAG prompt engineering is that different use cases often require tailored prompts. While the ultimate goal is to develop a single, universal prompting strategy that can adapt to diverse tasks, creating such a one-size-fits-all solution is not a trivial endeavor.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
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Example Question for RAG-Based Answering
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Challenge of Developing a Universal Prompting Strategy for RAG
Structure of a Complete RAG Prompt for Question Answering
A system is designed to answer user questions by first finding a relevant text and then using a language model to generate a response based only on the information within that text. A user asks, 'What are the primary health benefits of regular exercise?' The system retrieves the following text: 'Consistent physical activity strengthens the heart muscle, which improves cardiovascular efficiency and lowers the risk of heart disease. It also aids in weight management by burning calories.' Which o
A developer is building a system to answer user questions using retrieved information. For the user query 'What are the key differences between llamas and alpacas?', the system retrieves the following text: 'Llamas and alpacas are both South American camelids. Llamas are significantly larger, often weighing up to 400 pounds, while alpacas are smaller, typically under 200 pounds. A key distinguishing feature is their ears; llamas have long, banana-shaped ears, whereas alpacas have short, spear-sh
Analyzing an Erroneous Answer in a Retrieval-Based System
LLM Refusal to Answer due to Insufficient or Irrelevant Context