About this event

Ready to master the frontier of open-weights AI?

Join us for Gemini DevDive: From Architecture to Custom Fine-Tuning, an immersive session designed for developers, students, and tech enthusiasts who want to look under the hood of Google's latest open models. Instead of just calling standard cloud APIs, this session will teach you how to understand, deploy, and specialize open-source models locally. Whether you want to optimize for edge hardware or build high-efficiency, private AI systems, this deep dive will give you the precise engineering tools to get started.

What to Expect

We are skipping the high-level fluff and going straight to the metal:

• The Blueprint: Unpacking the Gemma 4 landscape and its native multimodal capabilities.

• Under the Hood: Deconstructing the hidden mechanics behind the E2B, E4B, and A4B model architectures.

• The Math & The Matrix: Demystifying the mechanics of Parameter-Efficient Fine-Tuning (PEFT/LoRA).

• Live Injection: A hands-on walkthrough using Unsloth to inject custom domain knowledge into a model live.

Who Should Attend?

This event is perfect for developers, computer science students, and engineers looking to move past simple API wrappers. If you are curious about local LLM deployment, open-source model optimization, or cost-efficient machine learning pipelines, you will find highly actionable value here. Basic Python familiarity will help you follow the fine-tuning notebook.