This chapter examines the evolving landscape of AI applications, particularly in real-time translation and automation of business processes. It discusses the necessity for experimentation, accountability, and human collaboration with AI to enhance reliability and accuracy. Furthermore, the chapter highlights the future potential of open-source technologies and the importance of domain expertise in successfully leveraging AI advancements.
Chroma is an open-source AI application database.
Anton Troynikov is a Founder at Chroma. He has a background in computer vision and previously worked at Meta. In this episode Anton speaks with Sean Falconer about Chroma, and the goal of building the memory and storage subsystem for the new computing primitive that AI models represent.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.
Please click here to see the transcript of this episode.
The post Chroma’s Vector Database with Anton Troynikov appeared first on Software Engineering Daily.