ML OpenTalk — February 17 at Yandex Hall

How do large language models “think”? At our upcoming ML OpenTalk, Sara Vera Marjanović will explore the internal reasoning patterns of LLMs and share insights into how these models process information and make decisions.

Sara is a PhD student studying language models with XAI and interpretability tools. She is currently interning at NVIDIA and focuses on building safer, more interpretable models — for instance, mitigating LLM social biases, communicating uncertainty in QA tasks, and improving RAG efficacy. Before her PhD, Sara worked as an ML engineer consultant and data scientist on biometric data projects.

February 17
Language: English
Topic: Thoughtology: Patterns in LLM Reasoning
Yandex Hall, 35 Moskovyan St., Yerevan

Agenda
18:30 — Guest arrival
19:00 — Talk by Sara + Q&A
20:00 — Networking

Registration is required to secure your spot. (https://forms.yandex.ru/surveys/13824557.ef7c235b88b4a8554090839b5b2fb2e13d9306b0) See you!

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