The author details their initial experience setting up and using the GLM large language model family, developed by a Tsinghua University research group and now commercially maintained by Z.ai. They found that documentation often skipped basic setup, so they provide a minimal OpenAI-API-compatible code example for making a first call. A key challenge encountered was the model's default "thinking" mode, which adds latency, and they offer a way to adjust the "effort" level for faster responses. The author also includes a slightly more realistic example of a function to handle variable prompts and potential errors, and notes that GLM can be tested alongside other models using services like RouteAI. AI
IMPACT Simplifies initial integration of GLM models for developers, potentially increasing adoption.
RANK_REASON The article provides a practical guide and code examples for using a specific LLM, fitting the 'tool' category.
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