Could this not be A? Configuring the model to include data from the travel agent’s database would allow the chatbot to access a source of relevant and specific information, which can significantly improve the accuracy of its responses. Fine-tuning the model with data specific to the travel agent’s services and customer interactions can lead to more precise and contextually appropriate answers.
The question s about how to ensure the model responses are accurate and not randomly made up creatively
Hence the answer is Option C to set the lower temperature that can ensure model is less creative and more factual
A is not correct. There is no configuration available to include data in database. You have to use RAG or Fine Tune the mode.
B setting Top p to zero will make it more unpredictable.
D Modify sys msg make affect the way model generate response
C setting temperature to zero make the model less random. so The answer is C
I say A is the right answear.
If we look at Q, it says “maximize the accuracy of the response”. Temperature parameter will effect but it isn’t maximize the response. I believe Data fuel AI, and will maximize the response.
GitHub Copilot has the answer Set Temperature to 0
To maximize the accuracy of the responses from the chatbot, you should:
C. Set the Temperature parameter for the model to 0.
The temperature parameter controls the randomness of the model's output. A lower temperature will cause the model to make the most likely prediction at each step, making the output more deterministic and focused, thus potentially increasing the accuracy of the responses.
Temperature:
Range: Typically between 0 and 1
Implications:
Lower values (close to 0): The model output is more deterministic, meaning it tends to produce more predictable and repetitive text. Useful for tasks requiring high precision.
Higher precision doesn't mean higher accuracy
Answer is A.
Documentation is clear about providing with data to the model in order to avoid errors and therefore receive accurate answers.
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions#provide-grounding-context
A system message is designed to give the model instructions, perspective from which to answer, and other helpful information.
It might include, Personality, Tone, Topics to exclude, and specifics such as formatting of answer.
It does NOTHING for accuracy - that is purely incumbent on the training data.
Al especificarle al bot una fuente de datos que sirva como base de conocimiento sus respuestas seran mas precisas en cuanto a la base de conocimiento que se suministre.
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