What is LAM?

Have you ever dreamed of having your own AI companion, like Tony Stark’s trusted AI assistant JARVIS from the Iron Man movies—an AI that understands you better than anyone and acts on your needs even before you express them?

JARVIS manifests the ideal behavior of AI: anticipating needs, solving problems, and executing actions seamlessly. While often referenced as a familiar example, JARVIS remains an aspirational benchmark for the future of AI technology.

The technology that brings everyone closer to their own version of JARVIS is LAM (Large Action Model).

LAM, or Large Action Model, refers to AI that is capable of performing large-scale, real-world actions.

Where traditional LLMs (Large Language Models) are designed to generate answers or guide users through problem-solving processes, LAM extends beyond these capabilities to execute actual tasks. LAM represents a shift from AI as a passive tool to AI as an active agent capable of making meaningful impacts in the physical world.

How Does LAM Learn?

LAM’s learning process mirrors how humans acquire new skills. Just as people observe actions, derive principles, and generalize them to adapt to changing environments, LAM begins with observation. It analyzes patterns and workflows, then abstracts these into flexible processes that achieve consistent goals across various scenarios.

For example:

Let’s imagine LAM learning how a user orders fried chicken through a delivery app. It observes the steps: opening the app, searching for a restaurant, selecting a menu, reviewing available coupons, and completing the payment.

LAM then defines this sequence as an optimized workflow. This enables it to replicate or adapt the process, whether ordering a different menu item or handling similar situations, ensuring the same end goal—order completion—is achieved efficiently.

This workflow-based learning is at the heart of LAM, enabling adaptability and flexibility. It plays a critical role in strengthening LAM’s capabilities across diverse contexts.

For more details on workflows, refer to this link:

Workflow Generation

Why is LAM Important in AI?

LAM carries a transformative potential across industries by going beyond data processing to deliver tangible real-world actions.

For instance:

• In e-commerce, LAM could analyze market conditions in real-time, propose optimal pricing or discount strategies, and autonomously execute price adjustments and promotions.
• In smart homes, LAM could learn user behaviors and routines to adjust lighting brightness or color, manage energy consumption efficiently, and enhance daily convenience and practicality.

By enabling actionable intelligence, LAM contributes to greater efficiency and productivity across sectors, creating measurable value users can experience directly.

What Can LAM Do, and Why Is It Vital for the Future?

The key advantage of LAM lies in its ability to achieve user-defined goals even as environments and situations change. Furthermore, it identifies and executes the optimal path to achieve those goals, setting it apart from traditional AI systems.

For example:

If LAM powers a vehicle’s navigation system, it wouldn’t merely provide the shortest route. Instead, it could analyze live traffic conditions, weather forecasts, the driver’s physical state, and fatigue levels to recommend the safest, most comfortable route. Simultaneously, it might reserve a parking spot at the destination or adjust the home’s thermostat to a cozy temperature upon arrival.

Unlike conventional AI, which passively responds to user commands, LAM actively engages with users, learning to understand them better over time and proactively addressing their needs.

Another example:

With personalized services, LAM could plan travel itineraries based on user preferences, manage health routines, or automate mundane tasks, freeing individuals to focus on creative or essential activities.

These capabilities align with Enhans’s vision of "Building AI Agents for Human’s Valuable Time." By leveraging LAM, Enhans is committed to enhancing lives, unlocking new possibilities, and driving unprecedented innovation.

Going into Conclusion

LAM is poised to make our lives more convenient and enriched, pushing the boundaries of what was once considered just an imagination. It ushers in a future where people and AI collaborate to create new value and opportunities in the real world.

More than a technological advancement, LAM represents the beginning of a new era where AI transcends its role as a mere tool, becoming an active partner in building a better world alongside humanity.