**B-Trees, LSM Trees, Parquet File Internals, Relational Algebra and Its Connection to MapReduce - Sergei Boitsov**

​Outline

​• Core data structures behind modern data storage and processing systems
• Comparison and use cases for B-Trees and LSM Trees
• How Parquet files work under the hood
• The role of relational algebra and its connection to MapReduce

​​​About the Speaker:

​**Sergei Boitsov** is a Senior Data Engineer at JetBrains, based in Berlin. He enjoys driving and playing the bass guitar in his spare time.
​

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Foundations of Data Engineering Instruments

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​Join us for an interactive Q&A session about the [LLM Zoomcamp](https://airtable.com/appPPxkgYLH06Mvbw/shr7WtxHEPXxaui0Q), our free online course about real-life applications of large language models (LLMs). You will learn how to build an AI bot answering questions about your knowledge base. No previous exposure to AI or ML is required!

​This event is perfect for anyone curious about the LLM Zoomcamp and considering registering.

​You'll have the opportunity to:

* ​Ask direct questions and gain insights into large language models
* ​Learn about course assignments, scoring, and how to receive feedback
* ​Get tips on how to navigate the course materials effectively

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Ask your questions directly to the instructor, Alexey Grigoev, who designed the course!
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**About the speaker:**

​[Alexey](https://www.linkedin.com/in/agrigorev/) is the founder of [DataTalks.Club](https://datatalks.club/) — a community of 69,000+ data enthusiasts.

​Alexey wrote a few books about machine learning. One of them is Machine Learning Bookcamp — a book for software engineers who want to get into machine learning.

​This is going to be the first iteration of the LLM Zoomcamp. Be among the first who’ll see the course contents! Register using this [form](https://airtable.com/appPPxkgYLH06Mvbw/shr7WtxHEPXxaui0Q).

​​​[DataTalks.Club](http://datatalks.club/) is the place to talk about data. [Join our slack community](https://datatalks.club/slack.html)!

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LLM Zoomcamp 2025 Pre-Course Live Q&A

​**Modeling approaches and insights from the [AIMO-2](https://www.kaggle.com/competitions/ai-mathematical-olympiad-progress-prize-2/) Kaggle competition - Ilya Boytsov**

​Outline:

* ​Intro to the math domain in the context of LLMs
* ​Post-training strategies for improving LLM accuracy
* ​Latency-constrained optimization: model selection, inference frameworks, and runtime trade-offs

​Speaker Bio:

​**Ilya** is a deep learning research engineer. He works at Wayfair on GenAI projects, he also co-leads the [Oxford LLMs](https://llmsforsocialscience.net/) project at the University of Oxford and the [Street Smart AI](https://www.meetup.com/street-smart-ai-berlin-meetup/) meetup in Berlin, Germany.
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AI Math Olympiad: A Technical Debrief of the Competition

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