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Scaling BERT and GPT for Financial Services with Jennifer Glore - #561

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Navigating AI in Finance: Challenges and Strategies

This chapter explores the operational challenges of implementing AI language models in the financial services sector, focusing on the importance of data governance, sanitization, and expert curation. It highlights the critical nature of testing for accuracy in sentiment analysis and the continuous need for model adaptation post-deployment. The discussion emphasizes proactive measures to maintain effective AI applications, reflecting on the broader transformative potential of AI technology.

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