Amazon Joins the AI Chatbot Race with New ChatGPT Competitor

  • Editor
  • July 5, 2024
    Updated
Amazon-Prepares-to-Launch-ChatGPT-Competitor.

Amazon is reportedly developing its own artificial intelligence (AI) chatbot to compete with OpenAI’s ChatGPT. The project, code-named “Metis,” seems inspired by the Greek goddess of wisdom, as reported by Business Insider on Monday, June 24.

The chatbot would be accessed through a website and powered by an in-house AI model, Olympus, maintaining the Ancient Greece theme. Internal documents and sources familiar with the matter have revealed this information.

Here’s what people have to say about this new update!

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Olympus is described as a more powerful iteration than Titan, Amazon’s existing and publicly available AI model. Amazon CEO Andy Jassy is said to be personally involved in the project.

In the rapidly evolving landscape of AI, understanding the nuances between automated systems and human touch is crucial. Our detailed comparison of AI chatbots vs. human interaction delves deeper into this dynamic, shedding light on the strengths and limitations of each approach.

Business Insider cites an internal document that says Metis provides text-based and image-based answers in a smart, conversational fashion, can share links to the source of its responses, offers follow-up questions, and generates images.

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According to the report, Amazon wants Metis to employ an AI technique known as retrieval-augmented generation (RAG), which will generate more up-to-date replies.

For instance, Metis should be able to offer the latest stock prices, something non-RAG chatbots wouldn’t be able to do.

RAGs combine information retrieval with natural language generation, potentially redefining AI by accessing and incorporating specific external data into responses, making them more effective and accurate.

“The main advantage of RAGs over LLMs is the fact that the former is based entirely on a proprietary data set that the owner of said RAG can control, allowing for more targeted applications,” Renat Abyasov, CEO of the AI company Wonderslide, told PYMNTS.

Amazon has been previously criticized for falling behind in the AI race, with Jeff Bezos himself reportedly questioning why more AI firms weren’t using Amazon’s cloud services.

“Let’s say a doctor wants to deploy a chatbot for their patients; using an RAG will allow them to ensure that the advice provided by said chatbot will be reliable and consistent. That reliability is much harder to achieve with LLMs, systems trained on massive amounts of publicly available and sometimes rather dubious data.”

Despite this, Amazon has been pushing forward with AI service delivery, evidenced by the November preview of Amazon Q, a generative AI assistant tailored to customer businesses. In May, Amazon announced that it would be working on a new version of Alexa powered by its Titan AI model.

To which this is how people reacted!

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Analysts with Bank of America said Monday that the paid tier could generate $600 million in additional sales for Amazon, based on a 10% adoption rate of existing Alexa active users.

To support generative AI startups, Amazon Web Services (AWS) committed $230 million to free cloud credits.

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AWS CEO Mark Garman emphasized the company’s deep investment in AI, noting its potential to transform businesses. Jassy predicted that AI would drive “tens of billions of dollars” in revenue for Amazon over the next several years, highlighting its pervasive focus and investment in AI initiatives.

For more news and trends, visit AI News on our website.

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Dave Andre

Editor

Digital marketing enthusiast by day, nature wanderer by dusk. Dave Andre blends two decades of AI and SaaS expertise into impactful strategies for SMEs. His weekends? Lost in books on tech trends and rejuvenating on scenic trails.

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