课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models
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Solution: LLM API call
课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models
Solution: LLM API call
(upbeat music) - [Instructor] One of the ways to make an API call to the large language model of my choice is to head over to github.com/marketplace. Now, since I'm using the OpenAI GPT-4o mini model, I'm going to go ahead and select get API key, and it looks like one of the first things I need to do is to install the OpenAI package. So it looks like this package is already installed, so let me just go ahead and grab the version of OpenAI package that I have here, so that's 1.59.6, and let me update my requirements.text file. So that's OpenAI==1.59.6. Let me just go ahead and clear my screen. Now, let's head back to github.com/marketplace, and let me go ahead and grab some code that'll allow me to use this Python package. This boilerplate code will allow me to use the OpenAI package. Let me copy this across to moneychanger.py. Let me head back to github.com/marketplace, and let's make the API call to the GPT-4o mini model. And so let me head over to the function call LLM, and my…
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Using GitHub Codespaces3 分钟 32 秒
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Using ExchangeRate-API.com4 分钟 56 秒
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Challenge: Get_exchange_rate21 秒
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Solution: Get_exchange_rate5 分钟 46 秒
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Challenge: Choose an LLM supporting multiple languages24 秒
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Solution: Choose an LLM supporting multiple languages3 分钟 27 秒
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Challenge: Create an app layout37 秒
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Solution: Create an app layout3 分钟 56 秒
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Challenge: LLM API call58 秒
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Solution: LLM API call6 分钟 28 秒
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Function calling: Add function calling code1 分钟 43 秒
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Challenge: Function calling1 分钟 12 秒
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Solution: Function calling8 分钟 57 秒
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Challenge: Using tools when required52 秒
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Solution: Using tools when required8 分钟 44 秒
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Deploy the app to production6 分钟 10 秒
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Working with LangSmith8 分钟 22 秒
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