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- Amazon Launches LLM For Business
Amazon Launches LLM For Business
PLUS: HuGE method trains robots via crowdsourced feedback.
Welcome back! Today is Wednesday, November 29th and in today's news Amazon unveiled Q, an AI chatbot tailored for business needs on AWS like troubleshooting and content generation. New to The Intelligence Age? Sign up here.
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News & Insights
Amazon Unveils Q, An AI-Powered Chatbot For Businesses
Amazon's latest AI, Q, promises to redefine how businesses interact with AWS. It's not just about answering questions; Q integrates with your company apps and learns your business inside out. Adam Selipsky, AWS CEO, emphasizes, "It's all informed by an understanding of your systems, your data repositories, and your operations." This customization is key—it allows Q to drill down into your specific needs, from troubleshooting network issues to suggesting AWS configurations tailored to your applications.
Q isn't just a chatbot; it's an action-oriented assistant. It can draft content for blogs or press releases, and execute actions through plugins, like opening service tickets. "I really believe this is going to be transformative," Selipsky stated. With its deep integration capabilities, Q is poised to become an indispensable tool for AWS users, streamlining operations and offering intelligent, actionable insights. techcrunch
Why does this matter?
Beyond the convenience of task automation and content generation, Q's potential to significantly accelerate development cycles is profound. Imagine reducing the time it takes to upgrade critical software across an entire enterprise from weeks to mere days. What impact could this have on your company's ability to innovate and stay ahead of the competition?
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Nov 28, 2023
New Method Uses Crowdsourced Feedback To Help Train Robots
Human Guided Exploration, or HuGE, is a game-changer. It's a reinforcement learning approach that eschews the expert-designed reward function in favor of crowdsourced human feedback. This method, devised by researchers from MIT, Harvard, and the University of Washington, allows AI agents to learn tasks rapidly, even from imperfect human input. The beauty of HuGE? It leverages the collective intelligence of nonexperts worldwide, asynchronously, propelling robots towards their goals with the help of humanity's distributed knowledge.
What sets HuGE apart is its resilience to the noise inherent in crowdsourced data. While other methods might falter, HuGE thrives, guiding AI agents to explore effectively. Marcel Torne, the lead author, encapsulates this by saying, "the reward function guides the agent to what it should explore, instead of telling it exactly what it should do to complete the task." This approach could revolutionize how robots learn in real-world applications, from drawing letters to navigating mazes, without constant human oversight. theverge
Written by Isaac R. Ward, Casey Clifton, and Alex Brogan.
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