Stanford Seminar - Building the Smartest and Open Virtual Assistant to Protect Privacy - Monica Lam
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Overview
Explore the frontiers of privacy and technology with Monica Lam's seminal presentation on building the smartest open virtual assistant, presented at a Stanford University seminar. This insightful discussion unveils "Almond," an innovative open-source virtual assistant designed to prioritize user privacy while offering superior functionality. Almond represents a groundbreaking move away from potentially monopolistic platforms, introducing a more affordable, robust approach to virtual assistant development.
Almond's backbone is an end-to-end neural model that can translate natural language into executable code in an exclusive virtual assistant programming language named ThingTalk. This leap in technology is primarily powered by Genie, a sophisticated data engineering tool capable of synthesizing training data, thus bypassing the high costs associated with annotating real data. Genie's capabilities extend to generating dialogue agents directly from databases in specific domains, allowing for unprecedented accuracy in complex queries, exemplified by its superior performance in restaurant reservation tasks compared to mainstream commercial assistants.
Central to Almond's design is the commitment to user privacy. By employing a federated design, Almond ensures that users retain full control over their data, seamlessly integrating with Home Assistant to connect to a wide array of IoT devices without compromising privacy. The commitment to openness extends beyond design, with all tools, models, and training data made freely available to foster a collaborative effort toward developing the world's smartest open virtual assistant. Discover more about Almond's transformative approach and access resources by visiting http://oval.cs.stanford.edu.
This groundbreaking research is supported by the NSF under grant No. 1900638 and is accessible through Stanford University's platform on YouTube, categorized under Chatbot Courses.