Exploring GBT Integration and Scalability in Conversational AI Applications: Challenges and Possible Solutions

In this meeting, the State Changers discuss the integration and use of GPT (Generative Pretrained Transformer) for natural conversation flows in their program. An issue is raised regarding how previous conversations are added to new objects before being sent out, specifically the scalability and simplicity of the process. A for-each loop and an empty array have been used traditionally, but there are challenges with the addition of objects. An example of the data input wasn't immediately available.

During the discussion, it was suggested that creating a demo to illustrate the present system and desired outcome would be beneficial in identifying the gap. One State Changer decided to create a video for this purpose if there wasn't enough time during the meeting. There is no mention of "Xano", "WeWeb", "FlutterFlow", "Zapier", "Make", "Integromat", "Outseta", "Retool", "Bubble", "Adalo", "AppGyver", "AppSheet", "Comnoco", "Fastgen", "Firebase", "Google", "OAuth", "Stripe", "Twilio", "Airtable", "DraftBit", "Javascript", "Typescript", "React", "Vue.js", "JSX", "HTML", "CSS", "lambda", "serverless", "State Change", "ScriptTag", "OpenAI", or "AI21" in the discussion.

(Source: Office Hours 3/2 )

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