Row 3264

Row ID: 3264 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 3264 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Hi All, I'm planning a SaaS AI application with my team. We are using DJango as the backend. My question is whether we should just keep one monolithic repository for both user handling and other backend features aswell as our core AI application or put our core AI application in another Django application. We will probably not host our own AI i.e use GPT-4 api, but I want to have the option to scale, in case we may want to train and host our own model in the future. But if a single Django application can scale, I would like to keep a monolithic repo.

Any advice will be appreciated. Thanks.

FieldValue
text Hi All, I'm planning a SaaS AI application with my team. We are using DJango as the backend. My question is whether we should just keep one monolithic repository for both user handling and other backend features aswell as our core AI application or put our core AI application in another Django application. We will probably not host our own AI i.e use GPT-4 api, but I want to have the option to scale, in case we may want to train and host our own model in the future. But if a single Django …
label r/gpt
dataType post
communityName r/GPT
datetime 2024-02-23
username_encoded Z0FBQUFBQm5LakwxVFpyYTVKSUJOXzZzWlFOYnpEczh1eGhiZURTY2ZYajREbGRiMV9mZTdaZFFSbHo0aFRvUlJmMU83OWRGTHc5M21ZVTgzVkVOQWduelRad0ZSX3BjdVE9PQ==
url_encoded Z0FBQUFBQm5Lak9FZkJwM1RfOGwyc1hnOXh4SUVJSHBkTDNwbFdsSjM3UnR0MVFPWTUtREpwZzVtbnBOVGxsbFI1ZjZ5LUdMVEVzYmpHTXpkaEppRUVLdzgzTVdtQnRmenpyZjJFci1PNnlCQ3hLd1E5NjJkYkVfbkQtVE0tdVdfY19vSjRKN2Z0MFpicDFNSXVFVlR4WDhFSmFpMFdUdDYtcV9DekhnU2hTOGMtbk1XZDhkNnkwPQ==

Raw Record

{
  "text": "Hi All,  \nI'm planning a SaaS AI application with my team. We are using DJango as the backend.  \nMy question is whether we should just keep one monolithic repository for both user handling and other backend features aswell as our core AI application or put our core AI application in another Django application.  \nWe will probably not host our own AI i.e use GPT-4 api, but I want to have the option to scale, in case we may want to train and host our own model in the future. But if a single Django application can scale, I would like to keep a monolithic repo.  \n\n\nAny advice will be appreciated. Thanks.",
  "label": "r/gpt",
  "dataType": "post",
  "communityName": "r/GPT",
  "datetime": "2024-02-23",
  "username_encoded": "Z0FBQUFBQm5LakwxVFpyYTVKSUJOXzZzWlFOYnpEczh1eGhiZURTY2ZYajREbGRiMV9mZTdaZFFSbHo0aFRvUlJmMU83OWRGTHc5M21ZVTgzVkVOQWduelRad0ZSX3BjdVE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9FZkJwM1RfOGwyc1hnOXh4SUVJSHBkTDNwbFdsSjM3UnR0MVFPWTUtREpwZzVtbnBOVGxsbFI1ZjZ5LUdMVEVzYmpHTXpkaEppRUVLdzgzTVdtQnRmenpyZjJFci1PNnlCQ3hLd1E5NjJkYkVfbkQtVE0tdVdfY19vSjRKN2Z0MFpicDFNSXVFVlR4WDhFSmFpMFdUdDYtcV9DekhnU2hTOGMtbk1XZDhkNnkwPQ=="
}
Explore Dataset Explore Row

Entry Information