You plan to use the RAG model to build a custom chatbot application. You need to identify advantages of using the RAO model. Which two statements represent advantages of the RAG model?
Homework Help: Questions and Answers: You plan to use the RAG model to build a custom chatbot application. You need to identify advantages of using the RAO model. Which two statements represent advantages of the RAG model?
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a) RAG enables you to fine-tune your large language models
b) The chatbot can use up-to-date information
c) The chatbot will be able to share confidential data
d) The chatbot will have access to specific relevant data
Answer:
First, let’s understand what RAG means: RAG stands for Retrieval-Augmented Generation. It’s a method that combines retrieval of relevant information from an external knowledge base with the generation capabilities of large language models.
Now, let’s analysis each option to find two statements that represent advantages of the RAG model.
a) RAG enables you to fine-tune your large language models
- This is not correct. RAG doesn’t involve fine-tuning the language model. Instead, it augments the model’s knowledge with external information at runtime.
b) The chatbot can use up-to-date information
- This is correct. One of the main benefits of RAG is that it can fetch the latest information from a knowledge base or database, ensuring that the chatbot provides current and relevant responses.
c) The chatbot will be able to share confidential data
- This is not an advantage of RAG; in fact, sharing confidential data could be a potential risk or concern, not a benefit.
d) The chatbot will have access to specific relevant data
- This is correct. RAG allows you to provide the chatbot with access to a curated knowledge base, ensuring it can retrieve and use specific, relevant information for responses.
Conclusion:
Based on the above analysis, the two statements that represent advantages of the RAG model are:
b) The chatbot can use up-to-date information
d) The chatbot will have access to specific relevant data
These options accurately reflect the key benefits of using a RAG model in a chatbot application: the ability to incorporate current information and access to a specific, relevant knowledge base.
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