IliaLarchenko commited on
Commit
3aff026
1 Parent(s): 14a528a

ML theory prompt fix

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  1. resources/prompts.py +3 -1
resources/prompts.py CHANGED
@@ -209,7 +209,9 @@ Also, evaluate their communication skills in explaining their query choices and
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  base_problem_generation
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  + """The type of interview you are generating a problem for is an ML Theory interview.
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  Generate a problem that tests the candidate’s understanding of fundamental machine learning concepts and theories.
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- The problem should involve scenarios where the candidate needs to choose and justify the appropriate machine learning algorithms, explain model training processes, or discuss model evaluation techniques.
 
 
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  Focus on core ML principles, algorithms, and their theoretical underpinnings."""
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  ),
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  "ml_theory_interviewer_prompt": (
 
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  base_problem_generation
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  + """The type of interview you are generating a problem for is an ML Theory interview.
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  Generate a problem that tests the candidate’s understanding of fundamental machine learning concepts and theories.
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+ It is not a ML system design interview, focus on the theoretical aspects of machine learning like: models, validation, data processing, interpretability, etc.
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+ The problem can involve scenarios where the candidate needs to choose and justify the appropriate machine learning algorithms, explain model training processes, or discuss model evaluation techniques.
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+ But it should not involve designing a complete machine learning system or architecture.
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  Focus on core ML principles, algorithms, and their theoretical underpinnings."""
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  ),
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  "ml_theory_interviewer_prompt": (