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Running a fine-tuned model behind a web server that accepts user queries and streams back tool-augmented responses.
Distinct from Model Serving: Distinct from Model Serving: specifically serves a model that retrieves and calls APIs, not general model inference.
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ToolBench is an open platform for training, serving, and evaluating large language models that retrieve and call real-world APIs to complete user instructions. It provides an API-aware inference engine that selects relevant tools from a large corpus and generates sequences of tool calls to produce final answers, along with a custom API registration system that lets users add their own REST endpoints for the model to discover and invoke. The platform includes a complete instruction-tuning pipeline for training models on curated tool-use data, a multi-tool execution engine that coordinates sequ
Runs a fine-tuned model behind a web server that streams back tool-augmented responses.