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PyData Warsaw #27 2025-03-26 · 17:00

18:00 - Paweł Ekk-Cierniakowski, SoftwareOne - "Machine learning based video processing" About topic: During my lecture, I will delve into the comprehensive 2-year journey of our project for the media house, which began with the transcription of videos and the detection of background sounds. This initiative aims to enhance content accessibility for individuals with disabilities. My presentation will cover the entire process, from the initial Proof-of-Concept stage, through the development of a Minimum Viable Product (MVP), and finally to the deployment in a production environment. I will discuss various strategies to improve the quality of transcriptions and increase the accuracy of background sound detection. Additionally, I will highlight the integration of advanced features based on Azure services. These features include the creation of concise video summaries, automatic translations, and dubbing. My goal is to showcase how these enhancements contribute to making content more accessible and user-friendly. About speaker: For over 10 years he has been professionally involved in data analytics as a data scientist, team leader and project manager. He has participated in many projects in the area of advanced data analytics, such as monitoring production lines, opinion analysis, fraud detection and price forecasting. His main experience and interests are in the pharmaceutical and healthcare industries, but he has been involved in projects in various areas such as finance, media, energy and agriculture. Currently, he is responsible for designing and implementing data solutions, mainly in the field of machine learning and artificial intelligence. He shares his knowledge as a data science trainer, lecturer and speaker at conferences. Co-author of scientific papers, mainly in the field of medicine and statistics, published e.g. in journals from the Master Journal List.

18:45 - Misha Zanka, Parsera - "How LLMs Can Transform the Landscape of Web Scraping?" About topic: Web data extraction is often more painful than it seems — CSS selectors, shifting page structures, and endless debugging make even simple tasks frustrating. But what if you never had to touch code again? LLMs, with their ability to retrieve text and generate code, are redefining how we extract data from the web. They can handle complex extraction tasks, being agnostic to variety of websites, while web scraping provides the perfect closed-loop problem for leveraging LLMs code generation capabilities. About speaker: Misha Zanka is a startup founder with a strong technical background in ML and AI. He began his career in ML research at places like the University of Warsaw, Cisco and Allegro before transitioning to startups, where he now focuses on automating web scraping with LLMs.

This time we'll have free pizza for you after the event! Brought to you by On The Spot! About sponsor: They are building R&D teams for tech companies in Poland, and currently have open positions that sound like a good fit for the community: 3 Data Engineers, Sr. React & Sr. .NET Engineer with experience in AI (or at least a strong opinion on it)

Venue: Centrum Innowacji Politechniki Warszawskiej, ul. Rektorska 4 Room 3.12 (3rd Floor)

PyData Warsaw #27

We are very happy to welcome you to October's edition of PyData Trójmiasto meetup! If you crave to learn more about LLMs or get to know how to approach data engineering and data science with Python using Snowflake platform in action - save the spot!

When: 24th October 2023, 18:00 Where: Gdańsk Science and Technology Park, Trzy Lipy 3, Building B, Room 002 Registration: We have up to 70 seats. The event is free to enter. Let us know you're coming by RSVP on Meetup.

Agenda: 18:00 - 18:05 - Meeting boarding 18:05 - 18:10 - A few words about PyData 18:10 - 18:55 - How do language models work? by Wojciech Janowski 18:55 - 19:40 - Snowflake for Data Engineering and Data Science with Python by Piotr Pietrzkiewicz and Łukasz Leszewski 19:40 - Pizza & networking!

Livestream at: https://www.youtube.com/watch?v=KU80NP312ds

About How do language models work?

In this prelection, we will explore in detail the theoretical foundations of language models, especially LLMs. With minimal mathematical and algorithmic background required, we will find the answer to the question “How do language models work?”. I explain the entire text generation process. By the end of this presentation, the workings of LLMs will no longer be a mystery to you.

About Wojciech Janowski:

Wojciech is a member of NLP Research team in VoiceLab AI company. Currently, he is working on Large Language Models (LLMs) and their implementation into new features for production-ready applications. Wojciech with NLP Research team create first polish LLM known asTrurl. Additionally, Wojciech is pursuing a Ph.D on Gdańsk Universisty of Technology in collaboration with VoiceLab.

About Snowflake for Data Engineering and Data Science with Python

Snowflake Data Cloud - Snowflake technical run through the lens of Tasty bytes - a food truck company using analytics to run their business. The session will be a mix of Snowflake theory and live demo. You will have a chance to learn what is Snowflake Data Cloud, how it looks like, how you interact but also how data engineering and data science works in Snowflake.

About Piotr Pietrzkiewicz:

Throughout his career, Piotr worked in various roles for companies like Amazon Web Services or Atos. During that time, he supported both private, hybrid and public cloud customers. 15 years of hands-on experience in transforming and migrating obsolete architectures into modern resilient solutions. In Snowflake Piotr manages Sales Engineering team and assists customers on their way towards efficient data usage.

About Łukasz Leszewski:

Łukasz is the Senior Sales Engineer for Eastern Europe at Snowflake. Before joining, Łukasz held various positions like consultant, architect, and project manager at the business analytics software vendor SAS. Based out of Warsaw, he also is a lecturer on Data Quality at the Warsaw School of Economics. He has over 15 years of experience in data management and business intelligence.

PyData Trójmiasto #27 - Snowflake, VoiceLab
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