 "The Rabbit R1 is a great example of what LAM or Large Language Models are capable of. Image Credit: Rabbit Inc")
While LLMs or Large Language Models have hogged all the limelight when it comes to AI for quite some time now, LAMs or Large Action Models are about to go mainstream, and with it, new possibilities for what AI can do.
Unlike Large Language Models (LLMs) such as ChatGPT, which are trained on vast amounts of content, LAMs focus on demonstrations and actions to understand and predict user requests. This enables them to issue ‘function calls’ to perform specific tasks, offering a more efficient user experience.
Both Microsoft and Salesforce are actively investing in LAMs to enhance their capabilities in predicting and executing actions in various scenarios, from playing video games to using operating systems. These advancements represent the next phase of AI development, according to experts.
The upcoming launch of Rabbit’s R1, the first device powered by Large Action Models (LAMs), alongside investments from tech giants like Microsoft and Salesforce, may revolutionise the industry and drive significant business growth, experts suggest.
However, the integration of AI into consumer decision-making processes may introduce additional complexities for businesses.
Rabbit’s R1, a pocket-sized device developed by Los Angeles-based startup Rabbit, has garnered attention for its unique operating system and AI capabilities.
Priced at $199, the device promises an intuitive experience without the need for traditional apps, leveraging the power of AI. With over 50,000 units pre-ordered since its January launch, Rabbit’s R1 is set to ship within the week.
Impact Shorts
More ShortsBacked by Khosla Ventures, Rabbit’s innovative approach has drawn comparisons to the groundbreaking launch of the iPhone by Steve Jobs, with Microsoft CEO Satya Nadella expressing admiration for its potential to reduce cognitive load on users.
Rabbit’s R1, trained on human interactions with popular apps like Spotify and Uber, utilizes neuro-symbolic programming to understand and execute tasks across different applications. With support for voice commands and a range of functions including messaging, calling, and booking services, the device aims to simplify daily tasks for users.
While LAMs hold great promise for industries such as consumer banking, travel, and healthcare management, challenges remain in defining clear use cases and addressing ethical concerns. The rapid development of LAM technology underscores the need for ongoing innovation and regulatory oversight to ensure its responsible deployment and mitigate potential risks.
(With inputs from agencies)