What we’re about
Grammarly is the world’s leading AI writing assistance company, trusted by over 30 million people and 70,000 professional teams. From instantly creating a first draft to perfecting every message in English, Grammarly helps people get their point across—and get results—without compromising security or privacy. Grammarly’s product offerings work where you do, delivering contextually relevant writing support across over 500,000 apps and websites.
Grammarly’s team members drive innovation across engineering, data science, linguistics, design, and more while continuing to advance our natural language processing and machine learning technology.
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Grammarly Tech Talks is a meetup series bringing together a group of experts and adventurers who have a passion for technology, pushing boundaries, and creating things that have never existed before.
Are you eager to explore emerging practices, new approaches, technical challenges, and engineering solutions? Learn, grow, and stay on top of tech news and trends by joining our free virtual and in-person meetups! Grammarly experts are excited to share their experience, knowledge, and best practices. Join our community to meet like-minded people and discover cutting-edge insights and innovative ideas.
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Want to shape the way millions of people communicate every day? Check out:
Grammarly’s Hub in Berlin: https://www.grammarly.com/jobs/germany
Grammarly Technology: https://www.grammarly.com/jobs/technology
Grammarly Tech Blog: https://www.grammarly.com/blog/engineering/
Grammarly Open Roles: https://gram.ly/3KGUjD3
Grammarly Engineering Digest: https://gram.ly/3cICjMc
Upcoming events (1)
See all- How We Build High-Quality, User-Oriented LLM Features at GrammarlyKarl-Liebknecht-Str. 29A, Berlin
On August 26, join us to learn how Grammarly builds high-quality, user-focused LLM features—whether it’s evaluating output through real-user lenses or crafting and refining impactful model-generated text.
✅ Registration: to attend the meetup, please register ➡️ here ⬅️
Users or experts? Navigating the trade‑offs in LLM quality annotation
🔈Yulia Khalus—сomputational linguist at Grammarly🚀 In this talk, we will examine how LLM outputs are evaluated by potential end users versus professional linguist‑annotators, as two ways of ensureing alignment with real‑world user needs and expectations. We will compare the two approaches, highlight the advantages and recurring pitfalls of user‑driven annotation, and share the mitigation techniques we have developed from our own experience.
Beyond generation: How to get high-quality text from LLMs
🔈 Lera Lakusta—сomputational linguist at Grammarly.🚀 How can we make texts generated by large language models better?
We'll discuss how to influence quality during the prompt creation stage, as well as how to work with already-generated text—improving it, identifying errors, and filtering out undesirable results. We'll explore linguistic approaches that help achieve better, more controlled outcomes from LLMs.🔷 BIO:
- Yulia Khalus—сomputational linguist at Grammarly. Works on such features as correctness, enhancement, and quick replies. Background: MS in translation (French-Ukrainian).
- Valeriia Lakusta—сomputational linguist at Grammarly. Has more than 10 years of experience. Valeriia works on postprocessing LLMs and writing style suggestions at Grammarly, where she has been for 7 years. Before that, Valeriia built banking chatbots and worked on Arabic machine translation. She is excited to share ideas on making LLM outputs more consistent, clear, and high-quality.
Agenda:
✨ 18:30–19:00: Welcome and networking
✨ 19:00–20:00: Grammarly talk
✨ 20:00–21:00: Mingle with the Grammarly team
✅ Where: In-person, Grammarly Berlin hub
✅ When: Tuesday, August 26
✅ Language: English
✅ Use this link to register: http://gram.ly/4lXLfLSThe event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of interested guests on a first registered, first invited basis. Please check your inbox for a confirmation email about your attendance.
