WEBINAR: What Every R&D Leader Needs to Know About ChatGPT and LLMs

View Webinar-on-Demand

Live webinar held on June 27, 2023

Overview

ChatGPT and the explosion of advanced Large Language Models (LLMs) are disrupting every industry. We are now living in a new age of AI with an unprecedented pace of advancement. This paradigm shift is forcing all businesses, including innovation-driven companies in the life sciences and materials science, to consider what this means for them and how they can capitalize on this opportunity.

Enthought has been developing transformative Artificial Intelligence and Machine Learning solutions for scientific research for decades. As pioneers in scientific computing, we recognize the technological and strategic inflection point before us all. 

You are invited to a deep dive into the relevance and implications of ChatGPT, LLMs, and generative AI for your research team and organization.


Attendees will learn:

  • The tech behind ChatGPT and LLMs and what’s so different now compared to before
  • How to take an R&D lens to the rapidly changing and complex landscape of new models, components, and products
  • The high-stakes risks for scientific R&D specifically
  • The impact on how your research team could and should do their work
  • Use cases for integrating LLMs into scientific workflows
  • How to get started now with an eye on what’s next
  • Q&A with Enthought's AI experts

Share with your R&D team:

Don’t miss this exciting opportunity to discover the transformative potential of generative AI for scientific computing and learn how to stay ahead of the curve in the ever changing world of AI.

We encourage sharing this webinar with your entire research team as these technologies will impact each role differently.

Register


Enthought is a globally recognized leader in scientific computing, developing transformative solutions that leverage advanced technologies to accelerate innovation in research. From AI-assisted interpretations of subsurface seismic data to quantum simulations for materials informatics and ML models for cancer therapeutics, Enthought empowers science-driven companies to achieve breakthrough discoveries in record time. We bring a unique blend of domain expertise, technical proficiency, and business acumen to R&D. Enthought is headquartered in Austin, Texas, with additional offices in Cambridge, United Kingdom; Zürich, Switzerland; and Tokyo, Japan.

Share this article:

Related Content

Digital Transformation in Practice

There is much more to digital transformation than technology, and a holistic strategy is crucial for the journey.

Read More

Leveraging AI for More Efficient Research in BioPharma

In the rapidly-evolving landscape of drug discovery and development, traditional approaches to R&D in biopharma are no longer sufficient. Artificial intelligence (AI) continues to be a...

Read More

Utilizing LLMs Today in Industrial Materials and Chemical R&D

Leveraging large language models (LLMs) in materials science and chemical R&D isn't just a speculative venture for some AI future. There are two primary use...

Read More

Top 10 AI Concepts Every Scientific R&D Leader Should Know

R&D leaders and scientists need a working understanding of key AI concepts so they can more effectively develop future-forward data strategies and lead the charge...

Read More

Why A Data Fabric is Essential for Modern R&D

Scattered and siloed data is one of the top challenges slowing down scientific discovery and innovation today. What every R&D organization needs is a data...

Read More

Jupyter AI Magics Are Not ✨Magic✨

It doesn’t take ✨magic✨ to integrate ChatGPT into your Jupyter workflow. Integrating ChatGPT into your Jupyter workflow doesn’t have to be magic. New tools are…

Read More

Top 5 Takeaways from the American Chemical Society (ACS) 2023 Fall Meeting: R&D Data, Generative AI and More

By Mike Heiber, Ph.D., Materials Informatics Manager Enthought, Materials Science Solutions The American Chemical Society (ACS) is a premier scientific organization with members all over…

Read More

Real Scientists Make Their Own Tools

There’s a long history of scientists who built new tools to enable their discoveries. Tycho Brahe built a quadrant that allowed him to observe the…

Read More

How IT Contributes to Successful Science

With the increasing importance of AI and machine learning in science and engineering, it is critical that the leadership of R&D and IT groups at...

Read More

From Data to Discovery: Exploring the Potential of Generative Models in Materials Informatics Solutions

Generative models can be used in many more areas than just language generation, with one particularly promising area: molecule generation for chemical product development.

Read More