Haris Naeem

harisnaeem
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AI & ML interests

Finetunning open-source LM on advanced physics research. (NLP)

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If an SLM is trained/finetunned on random datasets from a specific field, is it a good practice to end each query with the prompt below to ensure that the response is not arbitrary? Does an SLM like 'Phi-4-mini-instruct' fully comply with such prompt?
Prompt: "Ensure that the response is fact-based, provable, and does not make assumptions. Avoid potential sources of error or uncertainty in the response. Additionally, include a dedicated section titled 'Known Issues and Sources of Error' to identify any possible limitations, ambiguities, or uncertainties related to the explanation."

A basic query

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#1 opened 7 days ago by
harisnaeem