Acto - Revolutionizing AI Agents
**Introducing Acto: Revolutionizing Digital AI Agents with Action Understanding**
**Introduction**
In an exciting leap forward for AI technology, Will, co-founder and CTO of Orbi, announced the release of Acto, a groundbreaking foundation model designed to interpret actions on web pages and applications. This innovation marks a significant step in advancing digital AI agents, enabling them to understand and perform tasks more effectively.
**What is Acto?**
Acto is the first foundation model to leverage contact-aware visual grounding, a technique that allows machines to identify and comprehend visual elements on a screen. This model is named for its focus on 'action,' connecting what the agent sees with what it understands through language, thus enhancing its ability to perform tasks.
**The Need for Acto**
Conventional large language models (LLMs) often struggle to bridge the gap between graphical user interface (GUI) information and text understanding. This limitation hinders their ability to comprehend what actions can be taken on an application and their outcomes. Acto addresses this gap by providing a deeper understanding of actions, making it an essential tool for digital AI agents.
**Key Capabilities**
Acto's prowess lies in its four core capabilities:
- **Visual Grounding:** Identifying and understanding visual elements on a screen.
- **Content Understanding:** Interpreting the context of text and images.
- **Planning:** Determining the best sequence of actions to achieve a goal.
- **World Modeling:** Maintaining a mental model of the environment to predict outcomes.
**How Acto Works**
Acto's development involves collecting action data by interacting with web applications and tracking these interactions. This data is then used to train the model, setting a new benchmark for digital AI agents. The process involves overcoming challenges such as data collection and model architecture, ensuring high-quality training data and effective model design.
**Applications of Acto**
Acto's versatility shines across various use cases:
- **Enterprise Automation:** Enhancing AI agents to automate complex tasks across web applications.
- **Task Automation:** Empowering users to automate tasks without requiring technical skills, through demonstration.
- **Continuous Learning:** Acto learns from user feedback, improving its capabilities over time, such as auditing expense reports based on company policies.
**Future Plans**
Orbi is committed to advancing the field of large action models. Investments in infrastructure for model development and a robust data engine are key focus areas. Additionally, Orbi aims to contribute to the AI community, sharing knowledge to drive innovation and make the impossible possible.
**Conclusion**
Acto represents a significant leap in AI technology, offering enhanced capabilities for digital AI agents. As Orbi continues to push the boundaries of what is possible, the future holds exciting possibilities for AI applications. Stay tuned for updates and insights into how Acto is shaping the future of AI.
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