The eve of GTC, NVIDIA’s annual AI conference — and after a full day helping teach a workshop about large language models — Sidney Knowles got a message that changed the shape of her week: NVIDIA was looking for employees to help support Build-a-Claw, an event focused on giving developers hands-on experience with emerging AI tools.
What started as a two-hour volunteer slot turned into something closer to a weeklong front-row seat to the future of AI development. Shortly after stepping into the event tent, Knowles immediately knew she was in her element: moving fast and helping others work faster and smarter.
Knowles supporting attendees of the Build-a-Claw event at NVIDIA GTC.
“Inside NVIDIA, AI work moves fast and tools evolve quickly,” said Knowles, a machine learning engineer in the IT organization’s enterprise AI and automation team, which builds internal AI tools, tests NVIDIA technologies in real employee workflows and helps turn early ideas into systems other teams can use to work faster and solve problems in new ways.
“The team’s goal is to use NVIDIA’s products to build tools that are helpful to employees in their day-to-day lives,” she said.
