Language models have become extremely popular, and can be efficiently incorporated into your projects through an API. You can interact with an API by sending HTTP requests to one of its endpoints, which should include input data (e.g., text or a prompt) that you want the language model to process. For this challenge, you are asked to use OpenAI's "text-davinci-003" GPT-3 model to build a KNIME workflow that answers natural language queries -- for example, "What is KNIME?". Optional: You can also built this as a KNIME component. Note: You will need the API Key from OpenAI to complete this challenge. To get it, follow the instructions in this blog post. Here's also OpenAI's documentation for making API requests. Finally, do not share your API Keys while uploading your solution to KNIME Hub.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Download WorkflowDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.