Name: Beyond Real-World Limitations: Synthetic Data Generation for Improved ML Perf
Start: 2024-10-15T17:30:00+02:00
End: 2024-10-15T19:30:00+02:00
Location: Impact Hub Brno

**Abstract:**
In this presentation, we tackle one of the most pressing challenges in applied AI: creating accurate, customized models for scenarios with limited data. Our approach combines the generative capabilities of large language models with the flexibility of AI agents to produce and validate synthetic, domain-specific training data. We'll explore how this method overcomes the limitations of traditional autoML solutions and the prohibitive costs of custom LLMs. We'll demonstrate how our solution dramatically improves model performance, even in scenarios with initially sparse datasets. Let’s be there to discover how this method could apply to your work.

**You can watch it online here:**
https://fb.me/e/8YOTg4Zut
*\*Stream starts at 17:45*

**Program:**
17:30 Welcome chat
18:00 Talk
18:50 Discussion
19:10 Networking (Impact Hub)

**About MLMUs:**
[Machine Learning Meetups (MLMU)](http://www.mlmu.cz/) is an independent platform for people interested in Machine Learning, Information Retrieval, Natural Language Processing, Computer Vision, Pattern Recognition, Data Journalism, Artificial Intelligence, Agent Systems and all the related topics. MLMU is a regular community meeting usually consisting of a talk, a discussion and subsequent networking. Except of Prague, MLMU also spread to Brno, Bratislava and Košice.

Markéta Audy-Masopustová

Tomas Sikora

Jirka Jahn

Machine Learning Meetup Brno

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Natural Language Processing

Machine Learning

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Predictive Analytics

Data Mining

Machine Intelligence

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Deep Learning

Beyond Real-World Limitations: Synthetic Data Generation for Improved ML Perf

Impact Hub Brno

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Machine Learning Meetup Brno

Beyond Real-World Limitations: Synthetic Data Generation for Improved ML Perf

Machine Learning Meetup Brno

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