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Maybe with ChatGPT!) cto , infotech , innovation , product , project , saas When we interview potential developers, we’re always amazed at how many can’t answer basic programming questions. It makes us wonder, how did these folks graduate from their CS program or their bootcamp? And how did they build their impressive resume?
The journey from the inception of neural networks to the sophistication of ChatGPT is a fascinating one, marked by significant milestones, technological advancements, and cultural shifts. Artificial Intelligence (AI) often seems like an overnight success story, but its roots stretch back more than 80 years.
I then picked up on the “ Creating a new context for innovation ” I do tend to rile if I feel the next “shiny object” or talking point (such as ChatGPT) gets a deflection from the need for innovation delivery. Creating a new context for innovation needs bigger goals.
Productivity has long been a source of curiosity and study for Planview’s ChiefTechnologyOfficer, Dr. Mik Kersten. They’re able to deliver value in a matter of days, create new products, new features, adapt to all the power that we have right now with generative AI tools like ChatGPT. How do I move to market faster?
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Here’s the experience that the panelists and moderator bring to the table: Sejal Amin, ChiefTechnologyOfficer at Shutterstock, stepped into her role in November 2022, just when Shutterstock was making their data deal with OpenAI. She’s led her team in bringing AI to the market throughout this turbulent year.
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