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Supervised AI is a no-code AI development platform that allows users to build supervised LLMs (Large Language Models) using OpenAI's GPT engine and their own data. It caters to enterprises looking to integrate AI into their business, as well as individuals wanting to build and sell their own AI apps. The platform provides tools to fine-tune AI models, deploy them on the cloud, and monetize them.
Users can build custom LLMs by training them on their own data using Supervised AI's no-code interface. They can then deploy these models on the cloud and monetize them through various payment options. The platform also allows for integration with other applications via API.
A custom model is a secondary AI engine, such as GPT-3 or GPT-4, trained on your specific data. An AI bot is an application built using either a default or a custom model.
The primary differences include the introduction of custom models, integrated monetization tools, and an expanded role for community members.
Businesses require AI tailored to specific tasks. By using a custom dataset, you can train and build a bot designed to perform those specific functions.
Yes. You can use the default environment to create AI apps that connect directly to GPT without utilizing a custom model.
Connect your PayPal or bank account to your Supervised dashboard and configure the required settings to begin monetization.
Yes, you can integrate custom data directly with your bots. However, note that the accuracy of the responses may vary due to the inherent limitations of GPT.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Supervised AI.
Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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