Sometimes it’s hard to know where to start when it comes to generative AI. It’s not too hyperbolic to say that many different aspects of a business have the potential to be affected by this new technology. Today, we’re going to talk about something that’s behind the scenes for most people, although hopefully not this audience. It’s coding.
On this episode of the Georgian Impact Podcast, we dive into the world of generative AI and its impact on coding, testing, and product design with guest Rodrigo Ceballos. Rodrigo is a Machine Learning Engineer at Georgian and provides firsthand experience and expertise, shedding light on the transformative power of AI in the tech industry. Exploring the exciting possibilities brought about by the fusion of human creativity and AI technology.
You’ll Hear About:
Redefining legal impact with the team at Darrow
Testing LLMs for trust and safety
The nitty-gritty of fine-tuning a GenAI model
How Georgian's AI team supports companies in adopting GenAI
Adapting teams to GenAI with Marketing AI Institute's Paul Roetzer
An introduction to generative AI with NVIDIA’s Mahan Salehi
Why Georgian launched a Product-led Purpose thesis
How purpose is a business differentiator: the Fiix story
OpenWeb’s Tiffany Xingyu Wang on making publishers sustainable with first-party data
How to make blockchain interoperability more secure with Hyperlane's Jon Kol
How AI is Making Grocery Shopping Better
Commercializing AI with Vector Institute’s Cameron Schuler
How Explainable AI enables trust with Fiddler.AI’s Krishna Gade
PolyAI’s Nikola Mrkšić on making a voice assistant people love
Creating Dynamic Content Experiences with Contentstack’s Neha Sampat
SPINS’ Brian Ritz on Getting Insights and Storytelling with Data
How Self-Sovereign Identity Works with Trinsic's Riley Hughes
Developing Open Standards for Self-Sovereign Identity With Kaliya Young
Web3 Needs More Women
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