Join us on Tuesday, October 29, to discover how we use the power of LLMs to design intuitive and user-friendly features at Grammarly!

✅ Registration: to attend the meetup, please register ➡️ here ⬅️

🔈 Speakers:

• Katia Starenka, Computational Linguist
• Reem Sabra, Analytical Linguist

🚀 Join us to explore how large language models (LLMs) are transforming our feature development at Grammarly! In this talk, we’ll share how we use LLMs’ power to design intuitive and user-friendly features. Learn about our journey from concept to implementation, the challenges we face along the way, and our practical solutions.

🔷 BIO: Katia Starenka—сomputational linguist at Grammarly. Works on such features as correctness, tone, inclusive language, and strategic suggestions. Background: MA in applied linguistics.

Reem Sabra—analytical linguist at Grammarly.

Agenda: ✨ 18:30 Doors open: Time for mingling and networking with fellows; snacks and drinks will be served ✨ 19:00 Talks ✨ 20:00 More snacks, drinks, mingling, and networking ✨ 21:00 Meetup ends

✅ Where: In person, Grammarly Berlin hub ✅ When: Tuesday, October 29 ✅ Language: English ✅ Use this link to register: https://gram.ly/489SYQV

The event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of registered on a first registered first invited basis. Please check your inbox for a confirmation email about your attendance.