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Title & Speakers	Event
Event The Power of AI in Communication and Data 2025-04-24
Panel Discussion 2025-04-24 · 19:40 Katarzyna (Kasia) Stoltmann – Head of Data Science & AI @ AstraZeneca , Anita Fechner – Data Science Batch Summer 2021, now Product Analyst @ Delivery Hero , Jennifer Lapp – Head of Growth, DACH & LATAM @ HubSpot , Olena Nahorna – Tech Lead Manager @ Grammarly Panel featuring Olena Nahorna, Katarzyna Stoltmann, Jennifer Lapp, Aliya Boranbayeva, moderated by Anita Fechner, discussing AI in communication and data. ai NLP machine learning data storytelling
From Numbers to Narrative: The Role of AI in Data-Driven Storytelling 2025-04-24 · 19:15 Jennifer Lapp – Head of Growth, DACH & LATAM @ HubSpot AI-powered tools translate complex information into accessible language, supporting data storytelling and collaboration between human insight and machine intelligence. Real-world examples show how organizations use AI to enhance research, reporting, and technical documentation. NLP machine learning ai data storytelling
Beyond the Code: How Linguistics Fuels End-to-End AI Innovation 2025-04-24 · 19:00 Katarzyna (Kasia) Stoltmann – Head of Data Science & AI @ AstraZeneca The talk will explore how a background in linguistics can enhance the development of end-to-end AI-driven solutions. linguistics ai
Building Quality Linguistic Features in the Age of LLMs 2025-04-24 · 18:45 Olena Nahorna – Tech Lead Manager @ Grammarly The talk explores how large language models (LLMs) have accelerated the development of linguistic features. It focuses on how to adapt feature development processes to match this rapid pace and highlights key considerations for maintaining high-quality output in a fast-evolving AI landscape. llms NLP machine learning

Event Building Frameworks for Evaluation of LLM Output at Grammarly 2024-09-05
Cypher Query Building with Open-Source LLMs 2024-09-05 · 19:50 Djordje Benn-Maksimovic – Senior Data Scientist @ Eviden LLM
Data Engineering Workflow Before, After, and For LLMs 2024-09-05 · 19:10 Halyna Oliinyk – Senior Data Engineer @ Delivery Hero Data Engineering LLM
Building Frameworks for Evaluation of LLM Output at Grammarly 2024-09-05 · 18:40 Lena Nahorna – Analytical Linguist @ 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. AI/ML LLM NLP

LLM Meetup: Practical Use Cases 2024-09-05 · 16:00 Register: https://lu.ma/sakz1lmv 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.	LLM Meetup: Practical Use Cases
Measuring LLM Output Quality at Grammarly 2024-06-06 · 19:00 Lena Nahorna – Analytical Linguist @ Grammarly , Ada Melentyeva – Computational Linguist @ 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 these challenges and our approaches to measuring the model output quality. We will talk about the existing evaluation methods and their pros and cons and then take a closer look at their application in a practical case study. LLM NLP	Ensuring the Quality of LLM Output at Grammarly: An Overview and Case Study
The Depth and Breadth of Language Research and Engineering at Grammarly 2023-11-28 · 19:00 Lena Nahorna – Analytical Linguist @ Grammarly , Yulia Khalus – Computational Linguist @ Grammarly This talk will help you understand the main responsibilities of analytical and computational linguists at the company, the types of tasks and projects they work on, and how they collaborate with the project teams. You will learn what kind of linguistic expertise is required for building AI-powered solutions at Grammarly. AI/ML	The Depth and Breadth of Language Research and Engineering at Grammarly

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