Edge 338: Inside WebAgent: Google DeepMind's Instruction-Tuned LLM that can Complete Tasks on Websites
The model combines language understanding and web navigation.
The integration between large language models(LLMs) and websites is one of the areas that can unlock a new wave of LLM-powered applications. LLMs have demonstrated remarkable proficiency in a wide array of natural language tasks, ranging from basic arithmetic and logical reasoning to more complex challenges such as commonsense understanding, question answering, and even interactive decision-making. Augmenting these capabilities with web navigation results in a very powerful combination. Recently, Google DeepMind unveiled Web Agent, an LLM-driven autonomous agent capable of navigating real websites based on user instructions.
The real-world implementation of web navigation has posed unique challenges, including: