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Amazon previews the future of Alexa with generative AI

Amazon previews the future of Alexa with generative AI

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DateSep 21, 2023

With generative AI bringing our north star for Alexa within reach, we’re previewing a new large language model and a suite of conversational AI capabilities that will help deliver an even more intuitive, intelligent, and useful Alexa.

Over the last few years, we’ve often talked about how we’re living in a golden age of artificial intelligence (AI). Ideas that seemed like science fiction not so long ago are now a reality—and there’s no better example of that than Alexa. What started as a sketch on a whiteboard has evolved into an entirely new computing paradigm—one that has fundamentally changed how people across the world interact with technology in their homes. Having passed half a billion devices sold, and with tens of millions of interactions every hour, Alexa has become part of the family in millions of households. We’ve always thought of Alexa as an evolving service, and we’ve been continuously improving it since the day we introduced it in 2014.

We believe this will drive the future of Alexa, enabling us to enhance five foundational capabilities:

1. Conversation
2. Real-world utility
3. Personalization and context
4. Personality
5. Trust

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1. Conversation

We’ve studied a lot about conversation in the last few years, and we know that being conversational goes beyond words. In any conversation, we process tons of additional information, such as body language, knowledge of the person you’re talking with, and eye contact. To enable that with Alexa, we fused the input from the sensors in an Echo—the camera, voice input, its ability to detect presence—with AI models that can understand those non-verbal cues. We’ve also focused on reducing latency so conversations flow naturally, without pause, and responses are the right length for voice—not the equivalent of listening to paragraph after paragraph read aloud.

2. Real-world utility

To be truly useful, Alexa has to be able to take action in the real world, which has been one of the unsolved challenges with LLMs—how to integrate APIs at scale and reliably invoke them to take the right actions. This new Alexa LLM will be connected to hundreds of thousands of real-world devices and services via APIs.

3. Personalization and context

An LLM for the home has to be personalized to you, and your family. Just as a conversation with another person would be shaped by context—such as your previous conversations or the situational context—Alexa needs to do the same. The next generation of Alexa will be able to deliver unique experiences based on the preferences you’ve shared, the services you’ve interacted with, and information about your environment. 

4. Personality

Customers have told us time and again that they love Alexa’s personality. You don’t want a rote, robotic companion in your home, and I’d argue Alexa’s personality is one of the biggest reasons for Alexa’s broad adoption. As we’ve always said, the most boring dinner party is one where nobody has an opinion—and, with this new LLM, Alexa will have a point of view, making conversations more engaging. Alexa can tell you which movies should have won an Oscar, celebrate with you when you answer a quiz question correctly, or write an enthusiastic note for you to send to congratulate a friend on their recent graduation.

5. Trust

There should be no trade-off between trustworthiness and performance. Customers around the world have welcomed Alexa into their home, and to be truly useful in their daily lives, we must continue to create experiences that they both love and trust. While the integration of generative AI brings infinite new possibilities, our commitment to earning our customers’ trust will not change. As with all our products, we will design experiences to protect our customers’ privacy and security, and to give them control and transparency.

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Source - https://www.aboutamazon.com/news/devices/amazon-alexa-generative-ai
 

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