Intelligent Agreement ManagementAccelerating Intelligent Agreement Management with a New “Docusign for Developers”Today, we’re introducing Docusign for Developers — a transformative suite of tools and resources designed to empower businesses and developers to innovate faster and smarter with our Intelligent Agreement Management platform.Dmitri Krakovsky
Intelligent Agreement ManagementTurn Contracts Around Faster with Docusign AI-Assisted ReviewAccelerate contract review and negotiation with Docusign AI-Assisted Review, a Microsoft Word add-in for Docusign CLM.Paxton Wiers
DevelopersBreaking the Language Barrier: Why Large Language Models Need Open Text FormatsSee from experimental results why open text formats work best for training LLMs and the problems AI has with generating complex, structured information. Dan Selman
DevelopersUnderstanding Levenshtein Distance: Applications to AI-Generated TextLevenshtein distance is a metric for comparing strings, providing a score for the difference between them. While it's been around for decades, it's found new applications in modern computing for comparing AI-generated text to it source material in ways that can help programmers preserve the privacy of data in large language models. Vincent Pan
Intelligent Agreement ManagementDocusign 2024 Release 2: Escape the Agreement TrapIn Docusign 2024 Release 2, we’re announcing new capabilities in Docusign IAM that help you escape the Agreement Trap with intelligent agreement management, generative AI experiences, and smooth source-to-pay processes.Will Spendlove
Insights for LeadersHow AI Is Changing the Customer Experience LandscapeWe sat down with Gainsight CEO Nick Mehta to discuss why the customer journey is so important today and how AI is changing the future of customer experience.
AIKnowledge graphs: RAG is NOT all you needDocusign distinguished engineer Dan Selman runs test queries to detect which tools a large language model (LLM) uses to answer queries against knowledge graph, showing you there's more to it than Retrieval-Augmented Generation (RAG). Dan Selman
