AI BEYOND THE LLMs

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Start: 05.03.2025 @ 18:00

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We invite you to the next PyData meetup. Lecture on AI BEYOND THE LLMs will be held by Aleksandar Jovanov, M.Sc.. The lecture will take place at Base42 on Wednesday 5.3.2025 at 18:00.

Talk:

Embark on a coding journey to build a machine which thinks outside the black box of the current deep learning models. From the humble first steps of reasoning logic, via the road of classical machine learning models with decision trees and regression, slight detour into the realm of probabilities, continuing through the forest of genetic algorithms and computation graphs, ending with a surprising finale of a boat tour on the lake of reservoir computing. Fireworks into the night not included but there is cold refreshing beer after the long path.

• A history of artificial intelligence beyond neural networks.
• Computation, logic and (artificial) intelligence - developments and alternatives across analyses.
• A review of the compatibility and interoperability of these methods with neural networks and the future.

About the speaker

Aleksandar Jovanov, Master of Science, is a freelance consultant in the fields of Computer Vision, Machine Learning, Computational Geometry and GIS, Global and Local Optimization Systems and Data Science. Graduated from FINKI in 2018 and studied at RWTH Aachen in 2023 as a Master in Data Science. He has worked on business projects in the field of finance, electricity distribution, 3D printing and application of machine learning in the food industry. His academic interests are the future of the world through the prism of computing and the development of artificial intelligence with three focuses: technical, theological and philosophical.

Call for presenters

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Do you enjoy sharing knowledge and like public speaking? Do you just enjoy sharing knowledge but are unsure how you feel about public speaking? Even if you're not 100% about public speaking, PyData is a very welcoming community and we appreciate any talks about sharing knowledge given by anyone passionate enough to share them.

Sign up to speak on the next PyData:

./speak.sh