Prompting for Production: Ensuring the Quality of LLM Outputs in Product Feature

We are thrilled to host and launch this event in cooperation with the [Meetup.ai Berlin](https://www.meetup.com/meetupai-berlin/?eventOrigin=event_home_page) community.💥
✅ Registration: to attend the meetup, please RSVP on the Meetup.ai Berlin community page ➡️ here ⬅️.

💥 Agenda:
17:30 Doors open: Time for mingling and networking with fellows; drinks will be served
18:00 Opening notes
18:10 Talk "Prompting for Production: Ensuring the Quality of LLM Outputs in Product Features at Grammarly" by Yulia Khalus, Computational Linguist at Grammarly
18:40 Break
18:45 Fireside Chat "Evaluating quality in LLM models pre-production" with Guy Rom, NLP consultant, ex-ML Researcher at Google Research
19:15 Community round pitch
19:30 Networking
21:00 Meetup ends

💥 Prompting for Production: Ensuring the Quality of LLM Outputs in Product Features at Grammarly
🔈 Yulia Khalus - Computational Linguist at Grammarly
🚀 LLMs have unlocked new opportunities in NLP with their possible applications. Features that used to take months to be planned and developed now require a day to be prototyped. But how can we make sure that a successful prototype will turn into a high-quality feature useful for millions of customers?
In this talk, we will explore real examples of the challenges that arise when ensuring the quality of LLM outputs and how we address them at Grammarly.

✅ Where: In-person, Grammarly Berlin hub
✅ When: Thursday, October 24
✅ Language: English
✅ Registration: to attend the meetup, please RSVP on the [Meetup.ai Berlin](https://www.meetup.com/meetupai-berlin/?eventOrigin=event_home_page) community. ➡️ here ⬅️