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Distinguishing Roles in a Memory-Augmented System
In a system where a large language model is augmented with an external knowledge base, the system first retrieves relevant documents and then generates an answer based on them. Explain the specific role that fine-tuning the language model plays in this process, and how this role is distinct from the function of the retrieval component.
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Fine-Tuning LLMs to Enhance RAG Performance
A financial services company wants to deploy a chatbot to help its advisors answer client questions. The chatbot must use the company's proprietary, 500-page market analysis report, which is updated weekly. The company uses a powerful, general-purpose pre-trained language model but finds it gives generic advice, not specific insights from the report. Given the need for up-to-date, report-specific answers and a desire to minimize computational costs, which approach is most suitable?
Diagnosing a Faulty Knowledge-Augmented System
Distinguishing Roles in a Memory-Augmented System