A step towards smarter, web-native AI agents

Amazon Act Nova Act, a model of advanced artificial intelligence designed for the most intelligent agents who can carry out tasks inside web browsers.

While the large language models spread the concept of “agents” as tools that answer queries or recover information through ways such as the generation of retrieval (RAG), Amazon imagines something more powerful. The company determines the agents not only as the respondents, but as entities capable of performing tangible multiple tasks in various digital and physical environments.

Amazon said: “Our dream is for the agents to perform widely complex, complex and multifaceted tasks such as organizing a wedding or addressing information technology tasks to increase work productivity.”

The current market offers are often short, as many agents require continuous human supervision and their jobs depend on the integration of comprehensive API – which is not possible for all tasks. The Nova law is Amazon’s answer to these restrictions.

Besides the model, Amazon will issue a research inspection of Amazon Nova SDK law. Using SDK, developers can create agents able to automate web tasks such as sending notifications outside the office, scheduling the calendar, or enabling automatic email responses.

SDK aims to divide the complex workflow into reliable “atomic orders” such as searching, verifying, or interacting with specific facade elements such as detectives or pop -up windows. Detailed instructions can be added to improve these orders, allowing developers, for example, by directing the agent to overcome the insurance process during the exit.

To increase the enhancement of accuracy, SDK supports browser processing across the theatrical writer, API calls, Python integration, and parallel threads to overcome the delay of downloading the web page.

Nova Law: An exceptional performance on standards

Unlike other obstetric models that display the center accuracy in complex tasks, Nova Act displays reliability. Amazon highlights the impressive degrees of its model for more than 90 % on the internal assessments of specific capabilities that usually challenge competitors.

ACT NOVA has closer 0.939 on Screenspot text standards, which measures the natural language instructions for text -based reactions, such as setting font sizes. Competitive models such as Claude 3.7 Sonnet (0.900) and Openai’s Cua (0.883) behind large margins.

Likewise, ACT NOVA 0.879 recorded the standard of the Screenspot web icon, which tests interactions with visual elements such as the classification of stars or icons. While the Groundui web test, designed to assess the efficiency of artificial intelligence in moving in the various user interface elements, has shown nova Act competitors slightly backward, Amazon sees this mature field to improve with the development of the model.

Amazon emphasizes its focus on presenting practical reliability. Once an agent is designed using ACT Nova functions as expected, developers can spread it without head, or merge it as or before the API, or even scheduling to operate the tasks in an unequivocal way. In the event of one use, the agent automatically requests a delivery authority every Tuesday evening without the need for a continuous intervention of the user.

Amazon puts its vision of the developmental and smart artificial intelligence agents

One of the distinctive Nova Act features is its ability to transfer user interface to new environments with minimal additional training. Amazon shared an example as ACT NOVA performed great in the browser -based games, although his training did not include video game experiences. These capable positions act as a multi -use agent for various applications.

This ability is already used in the Amazon ecosystem. Within Alexa+, ACT NOVA allows self -guided online mobility to complete user tasks, even when access to API is not enough enough. This is a step towards the most intelligent artificial intelligence assistants who can work independently, and harness their skills in more dynamic ways.

It is clear that Amazon is that ACT represents the first stage in a broader mission to formulate the AI’s smart and reliable agents who are increasingly dealing with multiple multi -step tasks.

The focus goes beyond simple instructions, Amazon focus on training customers through learning reinforcement through various realistic scenarios instead of very simplified demonstrations. This founding model works as a checkpoint in a long -term training curriculum for Nova models, indicating the company’s ambition to reshape the scene of the artificial intelligence agent.

“The most valuable use cases of agents have not yet been built,” I noticed Amazon. “The best developers and designers will discover them. This research inspection of our SDK law enables us to repeat alongside these builders through rapid initial models and repetitive comments.”

Act Nova is a step towards making artificial intelligence agents really useful for complex digital tasks. From rethinking the criteria to emphasizing reliability, its design philosophy focuses on enabling developers to overcome what is possible with the tools of the current generation.

See also: Anthropor provides an insight into “artificial intelligence biology”

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