World's Fair 2024
Unveiling the latest Gemma model advancements: Kathleen Kenealy
Overview
This talk introduces the latest advancements and additions to the Gemma model family, emphasizing Google DeepMind's commitment to empowering the open-source community. The Gemma models are presented as lightweight, state-of-the-art, open-source models built from the same technology as the Gemini models, designed for responsible AI development, high performance, and extensibility across various platforms and frameworks.
Who should watch
- AI engineers and developers interested in open-source LLMs.
- Product Managers and builders looking for performant, customizable AI models.
- Researchers seeking to leverage advanced AI models for experimentation and innovation.
- Anyone interested in the latest developments in responsible AI and multimodal capabilities.
Key takeaways
- Gemma models are developed with responsibility and safety as top priorities, undergoing rigorous evaluations comparable to Gemini models.
- The Gemma family includes foundational models (Gemma 1.0), code-specialized variants (Code Gemma), efficient inference models (Recurrent Gemma), and multimodal capabilities (P Gemma).
- Gemma 2 represents a significant leap, offering 9B and 27B parameter sizes that outperform larger models and are designed for easy integration into existing workflows.
- Gemma 2 models demonstrate superior performance on benchmarks and human evaluations, often outranking other open models of similar or even larger sizes.
- The models are highly extensible, optimized for TPUs and GPUs, and supported across a wide range of frameworks including TensorFlow, JAX, PyTorch, and Transformers.
- Google is actively supporting the open-source community through improved documentation, the Gemma cookbook with pull request acceptance, and GCP credits for research.
- P Gemma combines a vision encoder with a text decoder for image-text tasks like question answering and captioning.
- The Gemma cookbook on GitHub offers various examples and accepts community contributions, encouraging users to share their projects.
Notable quotes
*The real power of the Gemma models comes from their Open Access and open license. That is what is powerful about Gemma. We put state-of-the-art technology into your hands so you can decide what the next wave of innovation looks like.*
*Gemma 2 comes in both a 9 billion parameter size and a 27 billion parameter size. Both models are without a doubt the most performant of their size and both models also outperform models that are even two to three times larger than these base models.*
Unofficial community note. Prefer the recording for nuance.