🚀 From Tokens to Tools: Exploring Gemma

Most developers interact with LLMs through prompts — but real-world AI systems require more control, structure, reliability, and scalability.

In this hands-on session, we will go beyond basic prompting and explore how to build production-ready AI applications using Gemma, an open-weight model. Participants will gain a complete understanding of the LLM lifecycle — from how models process text internally to how we can shape, control, and deploy them in real-world systems.

✨ From tokens to tools — move beyond prompting and start building real AI systems.

💡 What You’ll Learn

🧠 How tokenization influences model behavior and output quality

⚙️ Decoding strategies for more controlled and reliable responses

📦 Generating structured JSON outputs for automation and system integration

🔗 Connecting Gemma with APIs, tools, and external systems

🚀 Building end-to-end AI workflows beyond chat interfaces

🏭 Best practices for production-ready AI system design

💻 Through a practical, hands-on demo, participants will learn how to move from experimentation to engineering — building AI systems that are not only intelligent, but also structured, controllable, and scalable.

🎤 Speaker

Krupa Galiya

Sr. Data Scientist at PatternAI | Google Developer Expert (AI)

📅 Session Details

📆 9 May 2026

⏰ 2:00 PM (GMT+8)

💻 Google Meet

📝 Register Now

https://forms.gle/fyFC6fW9DXxarJab6

📣 Stay Connected

Telegram: https://t.me/gdgutm

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LinkedIn: https://www.linkedin.com/company/gdgutm/

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