Tabnine Introduces Real-Time Switchable Models for Tabnine Chat, Putting Control Back in Hands of Engineering Teams
Engineering teams can now select from a catalog of models to use the one best suited to their situation, and can switch between them at-will.
TEL AVIV, Israel, April 02, 2024 (GLOBE NEWSWIRE) -- Tabnine, the originators of the AI coding assistant category, today announced the ability for users to select the underlying large language model (LLM) that powers its software development chat tool, Tabnine Chat. Engineering teams can now select from a catalog of models to use the one best suited to their situation, and can switch between them at-will.
Advancements are rapidly occurring in the realm of LLMs, with more powerful models continuously entering the market, challenging older releases and introducing competition both within and across providers. Historically, engineering teams had to choose both the AI coding assistant and its underlying models. However, this approach leaves little room for teams to benefit from advancements from different LLMs without having to install, integrate, deploy, and train their users on a different AI coding assistant.
“Engineering teams should have the freedom to choose the most suitable model for their use case without the need for multiple AI assistants or vendor switches. They should be able to choose based on each model’s specific performance, privacy policies, and the code it was trained on,” said Eran Yahav, co-founder and CTO of Tabnine. “To date, this has not been possible with the best-of-breed AI coding assistants — but we are changing that. Tabnine eliminates any worry about missing out on AI innovations, and makes it simple to use new models as they become available.”
Announced in June 2023 and now generally available, Tabnine Chat is the enterprise-grade, code-centric chat application that allows developers to interact with Tabnine AI models using natural language. Today’s update enables users to further adapt Tabnine Chat to the way they work and make it an integral part of the software development lifecycle (SDLC). It provides users control and flexibility to select LLMs that are the best fit for their needs and allows them to take advantage of the capabilities in newer LLMs and without getting locked to a specific model.
Tabnine also provides transparency into the behaviors and characteristics around the performance, privacy, and protection for each of the available models — making it easier to decide which model is right for each specific use case, project, or team. Developers now have the ability to choose any of the following models with Tabnine Chat and switch at any time:
- Tabnine Protected: Tabnine’s original model, designed to deliver high performance without the risks of intellectual property violations or exposing your code and data to others.
- Tabnine + Mistral: Tabnine’s newest offering, built to deliver the highest class of performance while still maintaining complete privacy.
- GPT-3.5 Turbo and GPT-4.0 Turbo: The industry’s most popular LLMs, proven to deliver the highest levels of performance for teams willing to share their data externally.
Switchable models offer engineering teams the combined advantages of LLMs' comprehensive understanding of programming languages and software development methods, coupled with Tabnine’s extensive efforts in crafting a developer experience and AI agents tailored to fit seamlessly into the SDLC. Tabnine employs advanced proprietary techniques — including prompt engineering, contextual awareness of local and global code bases, and task-specific fine-tuning within the SDLC — to maximize the performance, relevance, and quality of LLM output. By uniquely applying these methods to each LLM, Tabnine delivers an AI coding assistant optimized for each model. Regardless of the model selected, engineering teams get the full capability of Tabnine — including code generation, code explanations, generation of documentation, AI-created tests — and Tabnine is always highly personalized to each engineering team through both local and full codebase awareness.
Furthermore, with ongoing support for popular integrated development environments (IDEs) and integrations with common development tools, Tabnine ensures compatibility within existing engineering ecosystems.
To learn more read the company’s blog and documentation.
About Tabnine
Tabnine helps development teams of every size use AI to accelerate and improve the software development life cycle. As the original AI coding assistant, Tabnine has been used by millions of developers around the world to boost code quality and developer happiness using generative AI technology. Unlike generic coding assistants, Tabnine is the AI that you control; it is private and secure (easily running in your controlled environments), personalized to your team yet never stores or shares your company’s code, and is trained exclusively on open-source code with permissive licenses. Learn more at tabnine.com or follow us on LinkedIn.
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