Generating descriptions with OpenAI
Our first step will be to identify a suitable use case for leveraging the power of GPT models to generate descriptions of elements of FAA Wildlife Strike data. Our objective is to unlock the potential of external data by creating prompts for GPT models that can provide detailed information and insights about the data we are working with. Through this use case, we will explore the value that GPT models can bring to the table when it comes to data analysis and interpretation.
For example, a description of the FAA Wildlife Strike database by ChatGPT might look like this:
Figure 12.2 – OpenAI ChatGPT description of FAA Wildlife Strike database
Within your solution using the FAA Wildlife Strike database, you have data that could be tied to external data using the GPT models. A few examples include additional information about the following:
- Airports
- FAA regions
- Flight operators
- Aircraft
- Aircraft...
