LLM Meetup: Practical use cases
Join us in Berlin for the “LLM Meetup: Practical Use Cases” by Roosh Circle 🔥
If you're passionate about AI, machine learning, data science, or linguistics, this event is for you. Connect with like-minded professionals, share insights, and learn from industry experts as they dive into the real-world applications of LLMs.
⚫️ Speakers & Topics:
Lena Nahorna, Analytical Linguist at Grammarly
Topic: Building Frameworks for Evaluation of LLM Output at Grammarly
LLMs have opened up new avenues in NLP with their possible applications, but evaluating their output introduces a new set of challenges. In this talk, we discuss how the evaluation of LLMs differs from the evaluation of classic ML-based solutions and how we tackle the challenges.
Halyna Oliinyk, Senior Data Engineer at Delivery Hero
Topic: Data Engineering Workflow Before, After, and For LLMs
Halyna will take you through the journey of deploying LLMs into production, focusing on the creation and management of modern data pipelines. She'll cover essential topics like system design, data sources, observability, and monitoring, all backed by real-world examples and common mistakes to avoid.
Djordje Benn-Maksimovic, Senior Data Scientist at Eviden
Topic: Cypher Query Building with Open-Source LLMs
Djordje will discuss creating knowledge graphs from news articles using small transformers for entity and relation extraction, and automating Cypher queries with open-source LLMs.
⚫️ What to Expect?
No formalities — just connecting with peers, sharing insights, and discovering the latest trends and use cases of LLMst. We’ll kick off with welcoming drinks to set the mood, followed by presentations and a Q&A session with our speakers. Afterward, we'll dive into networking with more drinks and snacks.
We're excited to partner with Grammarly, the world’s leading AI writing assistant, trusted by over 30 million users and 70,000 professional teams, and Neo4j, the Graph Database & Analytics leader, helps organisations find hidden patterns and relationships across billions of data connections deeply, easily and quickly.
👉 The event is free, but registration is mandatory. Due to limited seats, the invites will be sent to a limited number of interested guests. We kindly encourage you to register using your work email addresses. Please check your inbox for a confirmation email about your attendance.
See you!
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