[Webinar] What are large language models, and are they going to get even larger?

In a webinar hosted by Tabnine’s Eran Yahav and Brandon Jung, the discussion focused on the advancements and challenges of using large language models (LLMs) for AI code assistance, highlighting their transformative potential in software development and the implications of increasing model sizes. The webinar delved into the workings and applications of LLMs, addressing concerns about bias, privacy, and security, while also showcasing how Tabnine, an AI coding assistant, aids development teams by enhancing engineering velocity and code quality without compromising privacy and compliance. Tabnine, which supports over a million developers, offers customizable AI tools that are context-aware and can be tailored to team standards, providing a private, personalized, and secure coding experience. It facilitates code completion, testing, and documentation through features like Tabnine Chat, allowing developers to interact with a chat agent for assistance, thereby streamlining the software development process.

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