Systems and methods for generative ai-based electronic mail tool management
AssigneeYahoo Assets LLC
InventorsSanika SHIRWADKAR, Yitong WANG, Kenneth SEBASTIAN, Rofaida ABDELAAL, Bhopal SINGH
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AssigneeYahoo Assets LLC
InventorsSanika SHIRWADKAR, Yitong WANG, Kenneth SEBASTIAN, Rofaida ABDELAAL, Bhopal SINGH
Estimating the term…
Disclosed are systems and methods that provide a scalable, decision intelligence (DI)-based computerized framework for verifying accuracy and consistency of provided functionality within an electronic mail platform. Hallucinations in AI-generated email summaries and quick action suggestions can undermine accuracy and trust, making it essential to implement strategies for their detection and mitigation. The disclosed framework operates by ensuring AI models are trained on high-quality, diverse datasets is crucial in minimizing the occurrence of hallucinations. Using attention mechanism and verification techniques, the framework can help focus the model's analysis on relevant sections of the email, thereby leading to continual updates and fine-tuning of models that can enhance the AI's reliability. By combining computerized oversight, robust training, and post-generation checks, the framework can operate to address hallucinations in email processing by mitigating their presence to ensure more accurate and actionable outputs.
A method comprising:
A system comprising:
A non-transitory computer-readable storage medium tangibly encoded with computer-executable instructions that when executed by a processor, perform a method comprising:
Dependencies are inferred from the claim text.