What Consumer Applications Currently Use LLMs and Is Amazon Alexa…
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😎 is Amazon Alexa based on LLMs?
🤖 According to a report by The Verge [techcrunch.com] Amazon is developing its own internally developed large language model (LLM) that will power a newer and more capable Alexa. This is different from Microsoft’s Bing, which uses OpenAI’s ChatGPT model. Amazon’s LLM is expected to make Alexa more proactive and conversational, and able to generate stories and media recommendations based on user preferences [techcrunch.com] [techcrunch.com]😎 so the current Amazon Alexa software does not use LLMs, right?
🤖 Not exactly. According to Amazon CEO Andy Jassy, Amazon has had an LLM powering Alexa for several years, but it is working on one that is much larger and much more generalized and capable [www.zdnet.com] [techcrunch.com] The new LLM is expected to make Alexa more proactive and conversational, and able to generate stories and media recommendations based on user preferences [techcrunch.com] [www.zdnet.com] [techcrunch.com]😎 what are the most popular consumer applications that use LLMs?
🤖 Some of the most popular consumer applications that use LLMs are:
• Chatbots and virtual assistants, such as ChatGPT, Siri, Alexa and Google Assistant. They use LLMs to generate natural-sounding text and converse with users [www.forbes.com] [speakai.co]
• Writing assistants, such as Grammarly and Quillbot. They use LLMs to check grammar, spelling, punctuation and style, and to rewrite text for clarity and conciseness [vectara.com]
• Search engines, such as Google and Bing. They use LLMs to provide more direct, human-like answers to queries [bing.com] [www.forbes.com] [speakai.co]
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: