Advancing Responsible AI with Gemma
September 16, 2024
Advancing Responsible AI with Gemma
Artificial intelligence (AI) must be developed in an environment that prioritizes safety, transparency, and efficiency. Google has taken a significant step in this direction with the introduction of Gemma 2, a suite of advanced AI models designed to uphold these ideals.
The Gemma 2 family consists of models with 27 billion and 9 billion parameters, embodying Google’s vision of high performance and safety. The family includes three notable additions:
1.Gemma 2 2B – a brand-new version of our popular 2 billion (2B) parameter model, featuring built-in safety advancements and a powerful balance of performance and efficiency.
2. ShieldGemma – a suite of safety content classifier models, built upon Gemma 2, to filter the input and outputs of AI models and keep the user safe.
3. Gemma Scope – a new model interpretability tool that offers unparalleled insight into our models’ inner workings.
Researchers and developers can now create safer customer experiences, gain unprecedented insights into our models, and confidently deploy powerful AI responsibly, right on device, unlocking new possibilities for innovation.
Gemma 2 2B classifies as the best-in-class performance for its size and outperforms other open models in their category.
Flexible, cost-effective deployment: Developers can run Gemma 2 2B efficiently on a wide array of hardware—from edge devices and laptops to robust cloud deployments with Vertex AI and Google Kubernetes Engine.
Open and accessible: Under very commercially-friendly Gemma terms, available for research and commercial applications alike. It’s even small enough to run on the free tier of T4 GPUs in Google Colab, making experimentation and development easier than ever.
You can download model weights for Gemma 2 today from Kaggle, Hugging Face, Vertex AI Model Garden. You can try it out in Google AI Studio.
Chatbot Arena Elo scores of various AI models, with Gemma 2 2B scoring highest at 1128, followed by Mixtral 8x7b Instruct v0.1, GPT 3.5 Turbo 0314, Llama 2 70b chat, and Gemma 1.1 7B it.
ShieldGemma
Safety in AI deployment is crucial. ShieldGemma addresses this by using classifiers to detect and filter harmful content. These classifiers focus on identifying hate speech, harassment, sexually explicit material, and dangerous information. By incorporating ShieldGemma, AI interactions can remain safe and respectful, aligning with ethical standards and societal norms.
ShieldGemma’s openness would make involving a large portion of the AI community easier and foster collaboration to add to ML industry safety standards.
“As AI continues to mature, the entire industry will need to invest in developing high performance safety evaluators. We’re glad to see Google making this investment, and look forward to their continued involvement in our AI Safety Working Group.”
~ Rebecca Weiss, Executive Director, ML Commons
Gemma Scope: Enhancing Transparency
Transparency in AI decision-making is essential for building trust and accountability. Gemma Scope leverages sparse autoencoders to provide interpretable insights into model decisions. This tool allows developers and researchers to understand how and why specific outputs are generated, promoting greater transparency and fostering trust in AI systems.
Deployment and Integration
One of the standout features of the Gemma models is their versatility in deployment. These models are optimized to run efficiently on a range of hardware, from low-power edge devices to high-performance cloud servers. Their integration with popular tools like Keras, JAX, and NVIDIA NeMo enhances usability, making them accessible for various AI projects. This flexibility ensures that Gemma models can be seamlessly incorporated into existing workflows, enhancing productivity and innovation.
Commitment to Responsible AI
Google’s responsible AI approach for generative AI applications, using ShieldGemma to filter user input and product output, and emphasizes content policies, adversarial testing, and transparency.
Google’s development of Gemma 2 exemplifies its broader commitment to responsible AI. By prioritizing safety, transparency, and efficiency, Google aims to set a standard for AI development that others in the industry can follow. The flexible terms of use for both research and commercial applications make these models accessible to a wide audience, promoting collaborative advancements in the field. This commitment underscores the importance of ethical considerations in AI development and deployment.
The introduction of Gemma 2 marks a significant milestone in the pursuit of responsible AI. By offering models like Gemma 2 2B, ShieldGemma, and Gemma Scope, Google is paving the way for safer, more transparent, and efficient AI technologies.
By focusing on these core principles, Google not only advances AI technology but also ensures that it serves humanity in a safe and beneficial manner. This approach sets a precedent for the industry, encouraging the development of AI systems that are both innovative and ethically sound.