Haris Naeem

harisnaeem
·

AI & ML interests

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

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Leibniz University Hannover -  Institute of Artificial Intelligence's profile picture

harisnaeem's activity

New activity in meta-llama/Llama-4-Scout-17B-16E-Instruct 15 days ago

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#14 opened 16 days ago by
mrfakename
published a dataset about 1 month ago
commented on After 500+ LoRAs made, here is the secret about 1 month ago
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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."

New activity in microsoft/phi-4-gguf about 2 months ago