AI Day - 25 April
April 25th is AI Day at PyCon Lithuania 2025. Immerse yourself in a day dedicated to artificial intelligence and machine learning in Python. Join us for sessions covering large language models (LLMs), neural networks, computer vision, natural language processing, and more. Learn from industry experts about the latest developments in AI and how to effectively leverage Python's AI/ML ecosystem.
Keynotes
Merve Noyan
- Open-sourceress a Hugging Face đ€
- Works on: zero-shot vision & VLMs, large multimodal models, transformers, smol-vision
- Google Developer Expert in Machine Learning
- Personal Website
- Hugging Face Profile
Aurimas Griciƫnas
- LinkedIn Top Voice on Machine learning
- Author of SwirlAI Newsletter with over 24k subscribers
- Startup Founder (AI Infrastructure)
- SwirlAI Newsletter
Talks
Already confirmed talks:
When safety is non-negotiable - 3 stages of building safety using data & AI by Evaldas Kazlauskis
Pydantic: Crafting confidence in AI apps by Gediminas Sadaunykas
Leveraging Large Language Models for Automated Generation and Validation of Financial Descriptions for Lithuanian Companies by Antanas BaltruĆĄaitis
Unlocking the Power of Python and PyTorch for Biomedical Image Segmentation by Taisija Kozarina
đ Slow Productivity AI: Automating Knowledge & Task Management with Offline Hugging Face, n8n & Obsidian by piotr stepinski
The Emergence of Agentic Workflows in AI by Robert DziseviÄ
From Raw Transactions to Insights: The Power of Embeddings in Fintech by Hanna Danilovich
Surprisal and the headache of tokenizer encodings in LLMs! by Siddharth Gupta
How We Outperformed Microsoft, Google, and OpenAI in Speech-to-Text by Alius PetraĆĄka
The Best of Both Worlds: A Hybrid Approach to Lightning-Fast Product Matching by Zafarzhon Irismetov
Building multi-agent AI applications made easy with LangFlow by Christophe Bornet
How to evaluate fairness and safety in LLM applications? by Sebastian Krauss
Knowledge Bases & Memory for Agentic AI by Tuana Ăelik
Anonymization of sensitive information in financial documents using, python, diffusion models and named entity recognition by Dr Piotr Gryko
Code Generation in Regulated Industries: Opportunities and Challenges by Antanas Daujotis
EGTL data-processing model prototype using Python by Aleksejs Vesjolijs
AI 360: From Theory to Transformation by Stefan Dayneko
GenAI for Clients: No pain, no gain by Daria Lashkevich
Schedule
Check the full scheduleI would like to join the event
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