Generative AI accelerators¶
|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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