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On Fri, 22 Nov, 8:03 AM UTC
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Rabbit launches 'teach mode' allowing people to create custom agents for its AI mobile device - SiliconANGLE
Rabbit launches 'teach mode' allowing people to create custom agents for its AI mobile device Artificial intelligence startup Rabbit Inc., the maker of a low-cost AI consumer mobile device that fits in a pocket, today released a way for users to teach its AI assistant to take actions on their behalf on digital interfaces, starting with websites. Under the hood, the company said, it developed a specialized AI called a large action model, which can comprehend human intent and transform that into actions similar to the way that a human might perform the same task. At launch, r1 could perform searches, reply to questions, use its camera to transcribe text, assist with bidirectional transition and assist with buying items. Now, users will be able to teach the r1 to perform even more actions using teach mode. "All the best car manufacturers compete over their engines, but when electric cars came out, they didn't even need an engine to run," said founder and Chief Executive Jesse Lyu. "We shouldn't carry the burden of previous operating systems into the current systems. A developer ecosystem is crucial to the success of an operating system, and teach mode is that missing link, giving people the power to create their own custom agents." Users do not need to have any coding experience or advanced AI or developer knowledge to use the teach mode. The new mode was first announced alongside the r1 at CES 2024. In September the alpha testing program was launched and more than 400 "lessons" were created by a group of 20 testers. Using teach mode, a user essentially shows the r1 how to execute a series of steps by going through the motions. As the AI model follows along, it watches and links each step and the user can annotate the steps with text to explain why the step was done. If a misstep is made, the user can delete it and backtrack. Examples include sending a custom tweet or adding an item to an Amazon.com shopping cart. By having users go through the motions of executing the action with one product or tweet, the AI can learn how to do it again for any number of other products or tweets. Through framework of how it worked once, the Rabbit LAM agent can automate the task again and again when it's called up in the future after having a demonstration of the steps and the reasoning behind them. "A major challenge with AI products is that companies need to directly work with customers to learn their behavior and create the experience from the ground up because AI hardware is new and there are no predecessors," said Lyu. "We are fortunate to have one of the most engaged communities for emerging technologies. With their support, we are one of the first and only companies in the world to deliver a useful general agent to consumers at scale." According to Rabbit, the initial test period for teach mode enabled the company to expedite the public beta release and significant improvements that allowed the company to support more complex and dynamic websites.
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Rabbit will now let you teach the R1 to perform tasks for you
You can access the feature by logging into the Rabbithole, the web interface for managing an R1 device. From there, you'll create a "lesson" by describing a task and then recording yourself performing it. Once you show the AI agent what you want it to do, you can then ask it to recall what it's learned and have it complete the task. It seems straightforward, but Rabbit acknowledges that teach mode is experimental and results may not always be what you expect.
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Rabbit Inc. launches 'teach mode' for its R1 AI mobile device, allowing users to create custom AI agents without coding experience. This feature enables the AI to learn and automate complex tasks through user demonstrations.
Rabbit Inc., an artificial intelligence startup, has introduced a groundbreaking feature called 'teach mode' for its R1 AI mobile device. This innovation allows users to create custom AI agents capable of performing complex tasks on digital interfaces, starting with websites 1.
The teach mode operates on a simple yet powerful principle: users demonstrate a series of steps to complete a task, which the AI observes and learns. Users can annotate each step with explanatory text, providing context for the AI's understanding. If mistakes occur during the demonstration, users can easily delete and redo steps 1.
This process requires no coding experience or advanced AI knowledge, making it accessible to a wide range of users. Once a task is taught, the AI can replicate it for various scenarios. For instance, after learning how to add one item to an Amazon shopping cart, the AI can perform this action for any product in the future 1.
At the core of this innovation is Rabbit's specialized AI, known as a large action model (LAM). This AI comprehends human intent and transforms it into actions, mimicking human task performance. The LAM agent can automate tasks repeatedly once it has learned the framework and reasoning behind the steps 1.
Rabbit initially announced teach mode alongside the R1 at CES 2024. An alpha testing program launched in September, involving 20 testers who created over 400 "lessons." This testing phase allowed Rabbit to expedite the public beta release and make significant improvements, particularly in supporting more complex and dynamic websites 1.
Users can access the teach mode feature by logging into the Rabbithole, the web interface for managing an R1 device. Here, they can create a "lesson" by describing a task and recording themselves performing it. After the demonstration, users can ask the AI agent to recall and complete the learned task 2.
Jesse Lyu, founder and CEO of Rabbit, emphasizes the importance of this development: "A developer ecosystem is crucial to the success of an operating system, and teach mode is that missing link, giving people the power to create their own custom agents" 1. This approach could potentially revolutionize how users interact with AI devices, making complex task automation more accessible to the average consumer.
However, Rabbit acknowledges that teach mode is still experimental, and results may not always meet user expectations 2. As the technology evolves, it's likely to become more refined and capable of handling increasingly complex tasks across various digital platforms.
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