rabbit — research
We have developed a system that can infer and model human actions on computer applications, perform the actions reliably and quickly, and is well-suited for deployment in various AI assistants and operating systems. Our system is called the Large Action Model (LAM). Enabled by recent advances in neuro-symbolic programming, the LAM allows for the direct modeling of the structure of various applications and user actions performed on them without a transitory representation, such as text. The LAM system achieves results competitive with state-of-the-art approaches in terms of accuracy, interpretability, and speed. Engineering the LAM architecture involves overcoming both research challenges and engineering complexities, from real- time communication to virtual network computing technologies. We hope that our efforts could help shape the next generation of natural-language-driven consumer experiences. The proliferation of personalized experiences delivered via mobile applications has been
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