Supervised: Build, Deploy and Monetize LLMs with OpenAI GPT

Supervised is a platform that allows users to build supervised large language models (LLMs) using OpenAI's GPT engine. It provides a user-friendly interface and the ability to fine-tune AI models with custom data. Users can also deploy, monetize, and integrate their models using the Supervised API.

Visit Website
Supervised: Build, Deploy and Monetize LLMs with OpenAI GPT
Directory : AI Analytics Assistant, AI Chatbot, Large Language Models (LLMs)

Supervised Website screenshot

What is Supervised?

Supervised is a versatile platform designed for creating and managing large language models (LLMs) using the power of OpenAI's GPT technology. It offers an intuitive interface that enables users to customize AI models with their own data, deploy them, monetize their applications, and integrate them seamlessly through the Supervised API.

How to use Supervised?

Supervised's Core Features

Key features of Supervised include: 1. Developing supervised LLMs with OpenAI's GPT engine 2. Customizing AI models with user-specific data 3. Deploying models to cloud servers 4. Generating revenue from AI applications and models 5. Integrating external data sources with bots 6. Switching between various user interface templates 7. Accessing a library of pre-built models and data sources 8. Facilitating seamless payment collection 9. Easily integrating AI models via the Supervised API

Supervised's Use Cases

Supervised can be applied in several contexts, such as: 1. Enterprises aiming to accelerate their AI initiatives can use Supervised to develop scalable AI applications 2. Individuals interested in creating their own LLMs can leverage OpenAI's GPT technology and their data on Supervised 3. Businesses can exploit their data to construct entirely new AI models 4. Developers can create custom AI applications using models and data sources developed by others 5. Companies can implement AI solutions tailored to specific needs by training and deploying bots with unique datasets

FAQ from Supervised

What is Supervised?

Supervised is a platform that allows users to build supervised large language models (LLMs) using OpenAI's GPT engine. It provides a user-friendly interface and the ability to fine-tune AI models with custom data. Users can also deploy, monetize, and integrate their models using the Supervised API.

How to use Supervised?

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.

What is the difference between an AI bot and a custom model?

A custom model is a modified version of base models like GPT3, GPT4, etc., trained on your own data. An AI bot is an app built with either a default or custom model.

What is the main difference between Supervised and Sttabot v1.0?

The main differences are the introduction of models, monetization tools, and a bigger role for community members in making the platform successful.

How can creating custom models help me make money?

By using a custom dataset, you can train and build a bot that caters to specific needs of businesses, providing them with AI solutions tailored to their requirements.

Can I make an AI app without connecting it with a data source?

Yes, you can use the default environment to build AI apps that are directly connected to OpenAI's GPT, utilizing its vast knowledge to find and answer questions.

How can I monetize my AI apps and collect payments?

Monetizing AI apps on Supervised is simple. You can connect your PayPal or bank account to your Supervised dashboard and set up the necessary details to start collecting payments.

Can I integrate a custom data source directly with a bot without using models?

Yes, similar to Sttabot v1.0, you can integrate custom data sources directly with your bots. However, the accuracy of the answers might be limited by the capabilities of OpenAI's GPT.