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Alham Shaymardanov

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reacted to atasoglu's post with 👍 about 2 months ago
Introducing ToolsGen 🛠️ I built a tool to solve a problem I kept running into: creating quality datasets for training LLMs to use tools. ToolsGen takes your JSON tool definitions and automatically generates realistic user requests, corresponding tool calls, and evaluates them using an LLM-as-a-judge pipeline. It outputs datasets ready to use with Hugging Face. What makes it useful: - Generates realistic user requests + tool calls from JSON definitions - LLM-as-a-judge quality scoring with multi-dimensional rubrics - Multiple sampling strategies (random, parameter-aware, semantic) - OpenAI-compatible API support - Outputs JSONL with train/val splits Still early days (API isn't stable yet), but it's already helping me generate tool-calling datasets much faster. Check it out: https://github.com/atasoglu/toolsgen Happy to hear feedback or ideas!
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