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.

Supervised: Build, fine-tune, deploy, and monetize language models using Supervised's user-friendly platform.

Name: Supervised
Rating: 5 (94 reviews)
Author: toolify

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Large Language Models (LLMs)

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Build, fine-tune, deploy, and monetize language models using Supervised's user-friendly platform.

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Jun 24 2023

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Supervised Product Information

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.

Supervised's Core Features

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

Supervised's Use Cases

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 from Supervised

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?