Today, ChatGPT and large language models (LLMs) more generally represent the next evolution in AI/ML technology. And that comes with a number of implications.
With various performance metrics to choose among, might fund managers be tempted to cherry-pick those that reflect most favorably on their performance?
As machine learning (ML) and data science become ever more integrated into finance, which factors should we consider for our ML-driven investment models and how should we select among them?
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