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WEBINAR

To Generate or Not? Where GPTs Are Most Valuable Across Your CSR

Effectiveness of generative AI comes down to data and prompting.

A common pitfall to implementing generative AI in writing contexts is a misunderstanding of how LLMs interpret prompts and analyze the data exposed to it. Source data is the lifeblood of regulatory submissions, but the complexity of data and file formats (docx, PDF, tables, figures) can impact the quality of AI generated content for your submission.

This session will provide best practices for leveraging generative AI against various source data files. This will include a close-look at various data sources used to develop documents within the submission dossier, how each data source can be leveraged differently by generative AI, and how users can best prompt the generative AI model to receive desired results.

What you'll learn

Understand the nuances of prompt engineering for the effective use of generative AI

Define how best to use generative AI based on source data available and desired outputs

Identify where and when generative AI is effective in the submission drafting process

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About Certara

Certara is dedicated to transforming drug discovery and development for good. We harness the power of biosimulation, advanced analytics, and regulatory expertise to create a future where treatments reach patients faster and more efficiently.

From discovery to market access and commercial, we tailor solutions to meet our clients’ most pressing challenges. Through strategic leadership and advanced predictive technologies, Certara provides comprehensive solutions to optimize drug development processes, reduce risks, and improve outcomes. Our clients include more than 2,400 biopharmaceutical companies, academic institutions, and regulatory agencies across 70 countries.