AI for Science
Sign-Up to watch our AI for Science webinar series to gain insights into leveraging Generative AI responsibly in research.
Register💻 Webinar Replays
This two-part series is designed to equip researchers with the necessary tools and knowledge to effectively utilize AI while maintaining high standards of credibility.
Webinar 1: Navigating Quality Control in LLMs: The Power of Research and Citations
Join expert panelist Chris Bendall, VP of Strategy & Corporate Development at Research Solutions to learn how research publications and citations can provide quality control to Large Language Models.
In this webinar, you will learn how:
- Citations helped provide quality control to the early web.
- Citations have evolved to help evaluate research content.
- Citations can play a crucial role with building trust in Large Language Model output.
- Research Solutions and Publishers can work together to help provide further transparency and trust in LLM’s.
Webinar 2: Behind the Scenes with Scite Assistant: A Technical Exploration
Following our discussion on the role of quality control in AI, we turn to Domenic Rosati, Head of Artificial Intelligence at Scite, for a deeper understanding of our LLM, Scite Assistant.
During this webinar he will:
- Outline how Scite Assistant operates differently from similar kinds of AI, highlighting its distinct approach to information verification.
- Provide a thorough breakdown of the internal workings of Scite Assistant, including the processes behind its source evaluation and credibility scoring.
- Walk through the user interface to show how users can effectively navigate and utilize the platform to authenticate AI-sourced information.
Register now and access the recordings.
Speakers:
Director Product Strategy at Research Solutions
Josh Nicholson
Co-founder of Scite
Head of Artificial Intelligence at scite
Moderator, Director of Growth Marketing at Research Solutions