This session will highlight cutting-edge advancements, including Google's Gemini and Gemma, showcasing how these groundbreaking technologies are redefining AI capabilities across industries. Explore specific use cases that demonstrate the power of AI in driving innovation, optimizing processes, and enabling scalable solutions. This is your chance to discover the next wave of AI technologies shaping the future.

This talk will provide a practical introduction to Gemma, Google's versatile family of open-source language models. We'll explore the various Gemma models available, discuss their strengths and ideal use cases, and guide you through the process of using them effectively. Whether you're interested in text generation, question answering, or other language-based tasks, this talk will equip you with the knowledge to harness the power of Gemma for your own projects.

In this talk, I'm going to give a brief introduction to Generative AI tools from Google like Gemini and Gemma, and how beginners, developers, and practitioners alike can use these technologies for developing Golang applications from scratch and optimize them further.

In this talk, I'm going to give a brief introduction to Generative AI tools from Google like Gemini and Gemma, and how beginners, developers, and practitioners alike can use these technologies for developing Golang applications from scratch and optimize them further.

In this talk, Yogesh will discuss the background of fine-tuning large language models (LLMs) and demonstrate how to use the Ludwig framework to fine-tune Google's open-source LLM, Gemma, on a corpus of Frequently Asked Questions (FAQs) related to Goods and Services Tax (GST).

Pedal your way to the right choice, smack that giant enter button to confirm, and pick the right deployment for your prompt. Peek behind the scenes at the Google Cloud console for the tooling to explore and analyze logs and metrics.