Data-Driven AI Applications
The conversation emphasizes the importance of ensuring that AI models are tailored to specific industries, such as commercial banking and capital markets, to achieve accurate interactions. Pre-training and optimizing models on relevant datasets is crucial for effective implementation, as generic language models may lack the contextual understanding needed for specialized use cases. Organizations must carefully assess their data and workflows before integrating AI solutions to avoid customer frustration and ensure meaningful results.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
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