课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models
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Challenge: Using tools when required
课程: Creating Advanced AI Applications with Python, APIs, and GitHub Models
Challenge: Using tools when required
(bright electronic music) - [Instructor] In this challenge, we're going to continue working on our Moneychanger App. Now, one of the problems with our app is that if we were to now ask a non-exchange-related question, it would fail. So, let me give you an example. So, Why is the sky blue, for example? And you can see we get a TypeError, because we aren't able to pass the output that's been returned. So, using the documentation for the large language model provider of your choice, ensure that your app uses the function calling tools for exchange-related questions, and provides a response from the large language model for non-exchange-related questions. So, using moneychanger.py, make these changes in the run_pipeline() function.
内容
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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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