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

View Webinar-on-Demand

Live webinar held on June 27, 2023


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.


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

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

7 Pro-Tips for Scientists: Using LLMs to Write Code

Scientists gain superpowers when they learn to program. Programming makes answering whole classes of questions easy and new classes of questions become possible to answer….

Read More

The Importance of Large Language Models in Science Even If You Don’t Work With Language

OpenAI's ChatGPT, Google's Bard, and other similar Large Language Models (LLMs) have made dramatic strides in their ability to interact with people using natural language....

Read More

4 Reasons to Learn Xarray and Awkward Array—for NumPy and Pandas Users

You know it. We know it. NumPy is cool. Pandas is cool. We can bend them to our will, but sometimes they’re not the right tools…

Read More

Leveraging AI in Cell Culture Analysis

Mammalian cell culture is a fundamental tool for many discoveries, innovations, and products in the life sciences.

Read More

Making the Most of Small Data in Scientific R&D

For many traditional innovation-driven organizations, scientific data is generated to answer specific immediate research questions and then archived to protect IP, with little attention paid...

Read More