I'm Jeff, founder of Olama, which provides an easy way to get started with open-source large language models (LLMs).

Before founding Linear, I was a founding designer at Coinbase and a principal designer at Airbnb, where I learned the importance of building tools that are fast and efficient.

I'm Bihan, and I lead product at Decagon, a Series B startup building AI agents for customer service and support use cases.

I'm Chris Power, CEO and founder of Hadrian, and we build automated factories for the aerospace and defense industry, serving major companies like SpaceX and Andril, as well as startups aiming to scale quickly.

Humanloop enables large language models to have enhanced capabilities, allowing you to build differentiated applications and products on top of these models, with the range of use cases limited more by imagination than by technology.

At Palantir, we build software that allows enterprises to process large language models safely, ensuring that the knowledge of the enterprise is not outsourced to external models.

I'm Romain Huet, and I work on developer experience at OpenAI, focusing on making developers feel delighted and inspired by our tools.

The trend of using engineers for marketing tasks was already underway before large language models (LLMs) became popular, as seen in my experience with Triplebyte.

Large Language Models (LLMs) function like a new operating system, being developed by labs and distributed like utilities, reminiscent of computing in the 1960s.