Creating AI employees and why multi-agent teams are the future with Daniel Vassilev of Relevance AI скачать в хорошем качестве

Creating AI employees and why multi-agent teams are the future with Daniel Vassilev of Relevance AI

In our first interview series we speak with Daniel Vassilev, Co-founder of Relevance AI. Relevance AI is a leading platform to enable businesses to easily deploy and train an AI Workforce utilising a multi-agent architecture. The platform enables businesses to accomplish complex tasks on autopilot and monitor and manage their agents, enabling companies to 'Grow your business, not your headcount'. In this interview we cover: Daniel's builder background and hitting 1m users on his first app while in school Founding story of Relevance AI – from vector embeddings to LLMs to agents, creating an AI workforce platformBuilding performant and reliable multi-agent systems Taking advantage on the fundamental shift in how we work Live customer AI agent use-cases deployed today in Sales and Support Why being horizontal will win Shownotes: Beyond Co-pilot: https://relevanceai.substack.com/p/be... Anatomy of an AI agent: https://relevanceai.substack.com/p/th... Galileo Ventures Podcast covers whats happening in tech Down Under and globally for early-stage founders and investors. This episode is presented by James Alexander, Co-founder and Partner at Galileo Ventures. Subscribe on below for the next episode or signup below! ⁠⁠⁠https://galileo.ventures/podcast⁠⁠⁠ Find us on Twitter: ⁠⁠⁠  / galileovc⁠⁠⁠   Find is on LinkedIn: ⁠⁠⁠⁠⁠  / ⁠   Follow the hosts on Twitter: @jamesfromsydney and @hughstephens Please note that all content discussed and presented on this podcast is for informational purposes only and should not be taken as legal, business, tax or investment advice or used to evaluate any investment. Information presented here is not directed at any investors or potential investors in any Galileo Ventures fund.