Inside AI: From Early Ideas to Modern Approaches and Best Practices

Agenda

17:30 Registration

18:00 Introduction

18:30 Main session - What's inside the AI?

20:00 Networking

What's inside the AI?
Today, AI is usually associated with Claude, ChatGPT, Gemini, Grok, or some other sleek chat interface answering our questions. As tech professionals, we know that underneath it all lies an LLM wrapped in a nice UI. But is that really all there is to Artificial Intelligence? Are LLMs truly the revolution, or just a piece of it? Is an LLM still as impressive once stripped of its exoskeleton? What is the role of harness?

Welcome to a short journey into what lies under the hood of AI - what it is, what it isn’t, what it excels at, and where it struggles. At a sprinting pace, we will trace the foundations of AI from classical approaches (sometimes called GOFAI), through analytical methods, the earliest neural networks, and AI winters, all the way to deep learning and transformers. We will take a close look at what actually makes an LLM useful, discuss scientific research on when using them genuinely makes sense, and explore the landscape of various tools for developers looking to integrate LLMs into their applications.

We will have a closer look at open LLMs that are available for developers, especially focusing at possibilities offered by Gemma 4. We will try to understand how to fit it into the app seamlessly.

If time permits, I will also take you into the darker corners of computer science to examine whether LLMs are truly secure, look at potential attack vectors, and perhaps even try our hand at a live demo.

We will conclude our AI adventure with a quick glance at what is currently happening on the scientific frontier and what researchers are focused on next.

Prepare for a dynamic walkthrough of the most fascinating AI concepts that led to the creation of Large Language Models. By the end, you will be able to fully answer the question: what does AI really have inside?

Detailed Plan

Introduction: Stripping the Exoskeleton

The Foundations: Classical AI (GOFAI) & Early Approaches

The Shift to Learning: From Analytical to Early Neural Networks

Deep Learning & Architectural Evolution

The Transformer Revolution (Core Section)

LLMs on the Operating Table: Open Models & Gemma 4 (Core Section)

LLMs as the Heart of Applications: Building the Harness (Core Section)

The Darker Corners: Security & Vulnerabilities

Conclusion: The Scientific Frontier

Agenda

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Speaker

Jakub Skrzyński - AGH University of Krakow (Teaching and research assistant and PhD student)

AI researcher, software engineer, and Ph.D. candidate at AGH University of Krakow who focuses on Explainable AI (XAI) and model optimization. He focuses research efforts on making deep neural networks and LLM architectures more efficient, transparent, and secure. An honors graduate with research published at ICONIP and accepted to workshops ECAI/IJCAI, Jakub holds technical certifications from…

Hosted By

Michał Jabłoński, Developer + Geek

Vatsal Patel, Organizer

Oleksandr Katrych, Android Developer

Viktoriia Vinnykova,

Maryna Kamienieva, Cybersecurity Intern

Kamil Krawczyk, Organizer 343

Marcin Samsonowski, Enterprise Architect | Engineer | Trainer

I’m an architect with a strong technical background and a genuine passion for continuous learning and sharing knowledge. I love working at the intersection of people, processes, and technology - always aiming to find the right balance between quality and effectiveness.

I’m a firm believer in the transformative power of automation and AI, especially in how they can bring clarity, efficiency, and opportunity to complex environments.

Over the years, I’ve worked in variety of roles across diverse industries and company sizes - from early-stage startups to global enterprises. What drives me is connecting strategic perspective with practical execution and helping organizations use technology to achieve real business outcomes. My main focus areas are Enterprise and Solution Architecture, where I take a holistic view to make sure technology truly serves the bigger picture.

In free time mostly passionate about music (singing, playing, dancing) and sports (from martial arts to snowboarding).

Ephrem Worku,

Nataliya Pasichnyk, Engineering Manager

Jakub Kołakowski, Chief Wizard of GDG Warsaw

Do’er

Tomasz Flis, Frontend Developer

Frontend Developer from Poland with a passion for sharing knowledge about coding. Especially in Angular. Focused on making code easy to extend and read. Personally happy father, husband.

Anhelina Sudenkova,

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-warszawa-presents-inside-ai-from-early-ideas-to-modern-approaches-and-best-practices/.