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

License

8
#14 opened 3 days ago by
mrfakename

Open Source License

2
#2 opened 3 days ago by
harisnaeem
New activity in mistralai/Mistral-Nemo-Instruct-FP8-2407 6 days ago

Mistral OCR

#1 opened 6 days ago by
harisnaeem
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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 harisnaeem/Phi-4-mini-instruct-GGUF-Q4_K_M about 1 month ago

A basic query

1
#1 opened about 1 month ago by
harisnaeem