本教程系统讲解OpenAI多种大语言模型（LLMs）的选择与API集成方法，涵盖ChatGPT、DALL-E、WHISPER等接口。你将学会高效编写提示词、优化查询速度，以及文件处理、微调、安全审核等实战技巧，快速构建智能AI应用。
原始标题：OpenAI for Developers (Path)
MP4 | Video: h264, 1920×1080 | Audio: AAC, 48 KHz
Language: English | Size: 1.79 GB | Duration: 7h 2m 49s
OpenAI publishes several large language models (LLMs), each optimized for different use cases. This course teaches you how to select the right model to balance performance, accuracy, and cost.
This path guides learners through OpenAI’s APIs, including ChatGPT, DALL-E, WHISPER, and the Files and Fine Tunes API, covering advanced AI interaction and integration techniques. Participants will learn how to craft effective prompts, speed up query responses, and utilize system messages and tokens for improved model performance. By the end of the path, learners will be equipped to integrate OpenAI’s APIs into applications for interactive user experiences, work with the Image API for creative tasks, and apply transcription, translation, and custom fine-tuning to meet specific needs. It also covers essential practices in security, content moderation, and managing API usage to ensure safe and efficient AI application deployment.
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