Increase flexibility while maintaining control: Switchable LLMs for privately deployed Tabnine

Tabnine's switchable models capability has garnered positive feedback from users for allowing the use of any desired Large Language Model (LLM) within its generative AI tool, which is designed to enhance software development. This feature enables individuals and small teams to dynamically switch between a variety of Tabnine-developed and third-party LLMs, addressing diverse project requirements. For enterprises deploying Tabnine in private environments, administrators retain full control over which models are accessible and how they connect to these models, whether through private deployment, dedicated endpoints, or general API access. Tabnine supports integration with popular third-party models like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet, offering flexibility without compromising privacy and control. The platform leverages LLMs to enhance its AI capabilities, such as code generation and documentation, while providing personalized recommendations based on enterprise-specific contexts. Existing customers are encouraged to contact support for guidance on model selection and integration, while potential customers are invited to explore how Tabnine's platform can optimize their software development processes.