The following page may contain information related to upcoming products, features and functionality. It is important to note that the information presented is for informational purposes only, so please do not rely on the information for purchasing or planning purposes. Just like with all projects, the items mentioned on the page are subject to change or delay, and the development, release, and timing of any products, features or functionality remain at the sole discretion of GitLab Inc.
The Custom Models group is dedicated to empowering GitLab users with the flexibility to deploy and customize GitLab Duo Features within their local environments. We aim to allow customers to adapt Duo Features with their own data, based on their own code, needs, requirements and styles. Our goal is to give customers a more tailored Duo experience.
We will leverage a variety of AI models to enhance GitLab Duo functionality, ensuring that responses are of high quality and tailored to the customer's source code and data. We will also work with other teams within GitLab to explore opportunities for customizing AI models across the platform.
Customers utilize GitLab in a variety of formats, including GitLab.com, Dedicated, and Self-Managed. Regardless of how customers access GitLab, they deserve the chance to leverage Duo features in a way that is tailored to their organization.
Customers have a wide variety of security and compliance requirements. These requirements often preclude them from utilizing our existing Duo features that are enabled through GitLab.com. Providing customers with a self-hosted deployment option for Duo features will allow them to reap the benefits of AI while meeting their security and compliance requirements.
Customers want to adapt their Duo experience more directly to their own organization. For example, a customer may want the ability to adapt Code Suggestions to be based on their own code base so that any suggestions match their unique coding styles, standards, and programming language of preference. In addition, customers want to be able to orient Duo Chat to their internal knowledge bases to answer questions on their own documentation.