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Generative AI accelerators

Topic Describes...
Anti-money laundering (AML) alert scoring Develop a machine learning model that utilizes historical data, including customer and transactional information, to identify alerts that resulted in the generation of a Suspicious Activity Report (SAR).
Smart cluster labeling using generative AI Use cluster insights provided by DataRobot with ChatGPT to provide business- or domain-specific labels to the clusters using OpenAI and DataRobot APIs.
Improve customer communication using generative AI How generative AI models, like GPT-3, can be used to augment predictions and provide customer-friendly subject matter expert responses.
Hyperparameter optimization workflow Build on the native DataRobot hyperparameter tuning by integrating the hyperopt module into DataRobot workflows.
Zero-shot text classification for error analysis Use zero-shot text classification with large language models (LLMs), focusing on its application in error analysis of supervised text classification models.
Optimize customer support workflows with generative AI Use generative AI models to cater to level-one requests, allowing support teams to focus on more pressing and high-visibility requests.
Monitor generative AI with custom metrics Monitor LLMs and generative AI solutions to measure alignment and ROI and to provide guardrails.

Updated November 9, 2023
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