Claygent Neon excels in answer formatting and data extraction compared to OpenAI models. Neon allows you to format results into multiple columns or outputs, making it incredibly powerful for extracting various data points from a single run.
In our internal testing, Neon performs with the highest accuracy (less null/inaccurate replies) relative to other model options on representative Claygent queries. It also handles a wider range of tasks with significant capability jumps in parsing PDFs and harder-to-find information buried on the web.
While OpenAI models like GPT-4 offer enhanced reasoning capabilities, they don't provide the same level of answer formatting as Neon.
If you need any more help understanding how Claygent Neon works or have other questions, I’m here to assist. Would you like to share more about what you’re trying to achieve with Claygent?