Community-Driven Innovation
Emily emphasizes the importance of diverse expertise in product development, highlighting how a simple tool quickly gained traction within the company. With nearly half of the team actively using the LLM Explorer each week, the creation of community features like presets fosters collaboration and shared learning. The enthusiasm is evident, and the next challenge lies in transitioning from internal experimentation to robust, production-ready solutions.In this clip
From this podcast
No Priors
No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
Related Questions
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?
What is the best insight on prompt engineering and engaging large language models (LLMs) from the episode Unpacking 3 Types of Feature Stores // Simba Khadder // #265 and the clip Evaluating Model Performance?
Is there anyone taking a different approach to prompt engineering for large language models that makes the process more accessible to a wider audience, as discussed in the episode Collaboration & evaluation for LLM apps and the clip Fine Tuning Insights?