Supervised app

Description

how to use:
To use Supervised, simply sign up for an account and log in. Once logged in, you can start building your own LLMs by leveraging OpenAI’s GPT engine and your own data. The platform provides tools for model customization, deployment on cloud servers, and monetization. You can also integrate custom data sources directly with your bots. For more detailed instructions, refer to the documentation provided on the website.
Core freatures:
The core features of Supervised include:
1. Building supervised LLMs using OpenAI’s GPT engine
2. Fine-tuning AI models with custom data
3. Deploying models on cloud servers
4. Monetizing AI apps and models
5. Integrating custom data sources with bots
6. Switching between different user interface templates
7. Accessing pre-built models and data sources from a library
8. Seamless payment collection
9. Easy integration of AI models anywhere using the Supervised API
Use case:

Supervised can be used in various scenarios, such as:
1. Enterprises looking to fast-track AI enablement can utilize Supervised to build scalable AI apps
2. Individuals who want to build their own LLMs can use Supervised to leverage OpenAI’s GPT engine and their own data
3. Businesses can harness their data to build completely new AI models from scratch
4. Developers can build custom AI apps using data sources and models built by other developers
5. Businesses can utilize AI in a more tailored sense by training and building bots with specific custom datasets

FAQ list:
What is the difference between an AI bot and a custom model? What is the main difference between Supervised and Sttabot v1.0? How can creating custom models help me make money? Can I make an AI app without connecting it with a data source? How can I monetize my AI apps and collect payments? Can I integrate a custom data source directly with a bot without using models?