Neural search with Jina AI

Jina AI is a neural search framework that empowers anyone to build SOTA and scalable deep learning search applications in minutes. This hands-on code-along workshop will allow participants to build search engines for unstructured data (like images, audio, text, or video) using the power of AI. An example search engine can be seen at: https://examples.jina.ai/fashion

Speaker: Alex C-G, DevRel lead at Jina AI and open source, python enthusiast Speaker's Bio: Alex C-G is the Developer Relations Lead at Jina AI, responsible for building Jina's userbase and making onboarding buttery smooth. He's worked in open source for most of his career, in fields as diverse as sustainable construction and aerospace, and makes animatronic butterflies in his spare time. At work, he is an old-school curmudgeon, happy living in the shell and vim and avoiding those new-fangled mice and GUIs. Alex's languages of choice are Python, Arduino, and angry swearing at misbehaving machines.