Models

In the context of the framework, models play a central role. Broadly, there are two types of models: Provider Models and Custom Models. Provider Models are provided by well-known providers such as OpenAI, Anthropic, and Google, serving as AI backends to accomplish a variety of tasks. On the other hand, Custom Models are specifically crafted to connect with unique datasets and are tailored to meet user-specific requirements. This introduction serves as a starting point, with further details about Provider Models and Custom Models available in their respective sections.

Here's an overview of the two types of models:

Provider Models

Provider Models are pre-built models offered by leading AI providers. These models act as robust AI backends, equipped with extensive learning capabilities to handle a wide range of applications. While they are generally designed to be versatile, they can also be fine-tuned or extended to address specific needs.

Custom Models

Custom Models are designed to cater to specific user requirements. By leveraging unique datasets, these models are tailored to enhance precision and relevance in particular contexts. Custom Models empower users to derive insights and solutions that are closely aligned with their domain or industry, offering a highly focused and customized approach.

For more information, explore the dedicated sections for each type of model, where you can discover their potential and how they integrate within the framework.