There are many challenges in building a smart voice assistant. How can it understand and action every customer request? How can it learn and improve to close any gaps? How can it tailor its behavior to customer preferences and their current context? How can it sound as natural as possible? And how can we do all of this at scale to delight customers?
In this session, we will dive into the many ways we at Alexa AI are using Machine Learning and Natural Language Processing techniques to find answers to all these questions and improve Alexa. You will learn how we are making Alexa more competent, natural, personalized, and proactive by employing a wide range of techniques, from building large language models that empower multi-modal use caseses, over interactively learning from customer feedback, to using neural Text-to-Speech techniques to adapt Alexa’s speaking style.
With lots of concrete examples, find out how we are making Alexa better, every day!
The Why: Machine Learning techniques and Natural Language Processing technologies are becoming ubiquitous – this session will let you dive into lots of concrete examples of what techniques exist, and how they are currently being applied within Alexa, helping you gain a better understanding of this exciting field.
- Learn about recent innovations in NLP and smart assistants
- Get a practical understanding of how ML approaches are applied to improve Alexa
- Understand some of the challenges of building a smart voice assistant
This session is for… you if you are interested in real-life applications of Natural Language Processing, want to understand more about how Alexa works under the hood and want to learn how AI and machine learning can help address the challenges of building a smart assistant at scale. No previous knowledge of NLP techniques required!