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gpt-engineer installs the binary 'bench', which gives you a simple interface for benchmarking your own agent implementations against popular public datasets. The easiest way to get started with benchmarking is by checking out the template repo, which contains detailed instructions and an agent template. 新版GPT-4o生图功能太强了（附国内使用指南）【9月最新更新】. Contribute to gpt4o-image/GPT-4o development by creating an account on GitHub. GPT-3: Language Models are Few-Shot Learners. Contribute to openai/gpt-3 development by creating an account on GitHub. Here, the Summarize the following paragraph for me: represents plain text, while ${your code} denotes a code snippet. Undoubtedly, if you are familiar with Zotero APIs, you can develop your own code. The code snippet will be executed, and the text returned by the code snippet will replace the code snippet. Finally, the replaced text will be input to GPT. So, theoretically, you can accomplish all interactions between Zotero and GPT using command tags.
