Data Science, ML és AI előadások
Magyar nyelvű előadások
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Duronelly Péter
Data Scientist and Analyst Chapter Lead
Magyar Telekom
Chatbot in a box – generatív chatbot belső használatra nagyvállalati környezetben
ML GenAI Case Study
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Gáspár Sándor
Head of AI Competence Center
Stratis
Okoskeresés vállalati dokumentumokban magyarul
ML NLP
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Horváth Imola
Head of Advanced analytics
Hiflylabs
AI alkalmazások 2024-ben: A Prompt-optimalizálástól a kooperatív LLM-ágensekig
ML Generative AI
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Teremy Zsombor
Data Scientist
Nextent
Légvédelem: Real-time robot detekciós machine learning megoldás a Wizz Air-nél
ML
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Schin Lotár
AI Center of Excellence Lead
OTP Bank
NLU és NLG alkalmazások az OTP Banknál
ML GenAI Case Study
Angol nyelvű előadások
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Przemyslaw Biecek
Associate Professor
Warsaw University of Technology
Red-Teaming Models with XAI
ML Computer Vision Case Study
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Ortal Dayan
Deep Learning Researcher
Weizmann Institute
The Dark Art of Fine Tunning and Oversampling for Tabular Datasets
ML Case Study
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Ines Montani
CEO
Explosion
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
ML NLP Generative AI
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Ian Ozsvald
Interim Chief Data Scientist
Mor Consulting Ltd
Llama.cpp for fun and (maybe) profit
ML Generative AI
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Anna Grigoryan
AI Engineer
BlackRock
Advanced Techniques for Validating AI-Generated Summaries
ML NLP Generative AI
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Sivan Biham
Head of Research
Healthy.io
Garbage In Garbage Out - The Art and Science of Effective Data Annotation
ML Computer Vision
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Zoltán Balogh
Data Scientist
Hearsay Systems
Building a privacy-aware question-answering system using RAG
ML RAG
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Endre László
Senior Deep Learning Engineer
Continental
Trends in Perception for Automotive Applications
ML Computer Vision
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István Barra
Principal Data Scientist
Cambridge Mobile Telematics
Systematic LLM Pipeline Optimization with DSPy
ML Generative AI
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Dóra Gera
Data Engineer
Lynx Analytics
Boosting the reasoning capabilities of transformers with graph neural networks
ML Neutral Networks
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Aldan Creo
Technology Research Specialist
Accenture The Dock
The Power of Knowledge Graphs and AI: New possibilities for Developers and Data Scientists
ML Data Science
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Kacper Łukawski
Developer Advocate
Qdrant
The challenges of making vector search billion-scale
ML Best Practices
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További előadók felkérés alatt.
Data Platform és Data Engineering előadások
A Data Platform és Data Engineering előadóink teljes listája a Budapest Data Fórum weboldalon érhető el.