kjdfklgfCreate a new step in the folder of your installation. Run the following command. Step 4: Build the Research Assistant feature. Let’s create a new file in that folder nam and put the following code in it. you better understand the code block. Running it in the command line you should get something like the image below. Research Assistants Please note that handling keys directly on the front end is not recommend for security reasons. This example is for learning purposes only. For production purposes create a file and put your files in it. You can then initialize it like below.
Consider how to improve our
Current AI assistant setup as we move into the next section. Developing powerful research aids Our research assistants are a great example of how we are using the latest artificial intelligence models to Canada Telegram Number Data significantly improve our research processes. But it has some limitations as mention below. Limitations of basic research tools Poor user experience. Our current setup nes to provide a better user experience when it comes to input. We can solve this problem by using a framework like this to create input fields. Additionally it takes several seconds before we receive any response from the model which can be frustrating.
This can be by using
Loaders and integrating built-in streaming functionality to ensure we get an immiate response after the model is generat. Knowlge base is limit. The current version relies on pre-train knowlge to obtain Canada Phone Number List answers. Although this dataset is very large its knowlge deadline at the time of writing is month and year. This means that it may not provide relevant answers to research questions about current events. We will try to resolve this limitation in the next tool version by adding external data. Limit context. When we delegate research tasks to humans we want them to have enough context to handle all queries efficiently.
