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JKISeason02-11_​rev00

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Language models have become extremely popular, and can be efficientlyincorporated into your projects through an API. You can interact with an API bysending 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 thischallenge, you are asked to use OpenAI's "text-davinci-003" GPT-3 model tobuild 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 getit, follow the instructions in this blog post. Here's also OpenAI's documentationfor making API requests. Finally, do not share your API Keys whileuploading your solution to KNIME Hub. GPT Language models have become extremely popular, and can be efficientlyincorporated into your projects through an API. You can interact with an API bysending 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 thischallenge, you are asked to use OpenAI's "text-davinci-003" GPT-3 model tobuild 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 getit, follow the instructions in this blog post. Here's also OpenAI's documentationfor making API requests. Finally, do not share your API Keys whileuploading your solution to KNIME Hub. GPT

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