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