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Enhancing OpenAI API Efficiency: Leveraging System Messages and Temperature Settings for Improved JSON Output

Further to my post, ‘Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation’, I have been enhancing our capabilities and learning more about the OpenAI API. Recently, I have started incorporating two additional settings in my API calls: Here’s an example: var requestBody = new{  model = “gpt-3.5-turbo”,  messages = new[]  {    new   … Read More »Enhancing OpenAI API Efficiency: Leveraging System Messages and Temperature Settings for Improved JSON Output

Enhancing Customer Experience: Streamlined Enquiry Handling

Additionally, it’s imperative to thread these captured emails together, enabling users to track the conversation and facilitating our ability to provide updates. I’ve gained some valuable insights into email headers and structure. The “Message ID,” a critical element found within email headers, plays a pivotal role in tracking and identifying emails. This unique string, generated… Read More »Enhancing Customer Experience: Streamlined Enquiry Handling

Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation

Following my earlier post on leveraging generative AI to convert informal order instructions into structured JSON, I’ve been developing a proof of concept with our IDP tool, Abbyy FlexiCapture. I’ve transformed an order like this: “Can I order: Same red willington boots as last week, product code WEL1234, price was 15 pounds I think. A… Read More »Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation