Researchers from Meta AI and UCSD Present TOOLVERIFIER: A Generation and Self-Verification Method for Enhancing the Performance of Tool Calls for LLMs

Integrating external tools into language models (LMs) marks a pivotal advancement towards creating versatile digital assistants. This integration enhances the models’ functionality and propels them closer to the vision of general-purpose AI. This ambition encounters a significant challenge: the rapid evolution of tools and APIs necessitates that LMs swiftly adapt to new tools and parameter […]

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