First we will create a function

I’ve also add relevant inline code comments so you can follow along. Step 1: Set up the function to get the external data. Note: You can check the documentation to understand the structure of the response.  To get the latest news bas on the query you provide Step 1 Describe our function Next we will implement a tool setup to describe the composition of the external data function so that the model knows what type of data is requir. This should include the following steps: Integrating external tools into our assistant In this step we will create a function call. It will prompt a conversation with the model to execute the external data function specifiin.

The tool and dynamically

Integrate the response. First we will define an array to keep track of all conversations we have with the assistant and provide detail context when making new requests. Once this is done we Cambodia Telegram Number Data will set up the core functionality of the assistant. This involves processing responses from external functions to generate comprehensive and relevant reports for you. Step 1 Run our assistant Our last step is to create a function that provides the function query parameters for our research query and handle its execution. Run it in your terminal You should see a response similar to the following.

Telegram Number Data

External Data Research

Assistant What’s interesting is that the knowlge cutoff for the model is the year and month before Apple’s release. Despite this limitation the model provides relevant research reports Cambodia Phone Number List because we supplement our queries with external data. Others that you can integrate into your assistant can be or anything else that you have access to that has structur responses. Conclusion What an exciting journey it has been. This tutorial explores key concepts that help us understand how popular artificial intelligence applications work. We then built an AI research assistant that could understand our queries and use them to generate human-like responses.

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