Google Cloud is pushing the boundaries of artificial intelligence (AI) and data analytics, empowering businesses with innovative tools to drive growth and gain insights more easily. This article explores Google Cloud’s Generative AI offering, particularly the exciting updates to the Gemini family of models. See how Google uses these models to deliver AI-powered assistants that streamline workflows, enhance productivity, and unlock new possibilities for businesses.
Google Gemini model news
Google Launched the Gemini models in December 2023. The latest versions of Gemini Pro (1.1.0 and 1.5 currently in preview) boast significant improvements. Notably, Gemini 1.5 Pro can process information from documents, videos, and photos with a context window of up to one million tokens, enabling more profound understanding and more nuanced results.
You can also leverage Gemma alongside open-source models from Hugging Face within Vertex AI. It provides a flexible and accessible option for deployment on Google Cloud or other platforms.
Gemini Assistants bring Google Cloud’s Generative AI offer to a new level
Imagine having an AI assistant designed specifically for your Google Cloud environment. This is precisely what Gemini for Google Cloud offers. It caters to many users, from developers and security professionals to data practitioners and cloud architects.
Here are just a few ways Gemini for Google Cloud empowers your teams:
- AI-assisted App Development: Gemini Code Assist accelerates software development by providing intelligent recommendations and code generation. It tailors its suggestions to your specific security standards and quality requirements, ensuring robust and secure applications.
- Effortless Cloud Management: Managing cloud applications can be complex, but Gemini Cloud Assist simplifies the process. It assists with design, deployment, operations, and optimisation, helping you understand application health, troubleshoot issues, and optimise costs.
- Elevated Security Expertise: Security professionals can leverage Gemini to create natural language queries for recommendations and use conversational chat to expedite investigations.
Vertex AI provides broad and deep support for building your own Generative AI solutions with Google Gemini and other models.
Machine learning engineers will appreciate the comprehensive suite of tools Vertex AI offers. This platform simplifies the entire process of building and deploying machine learning applications. Vertex AI is integrated perfectly with Google AI Studio, a free, web-based tool for rapid prototyping and app launch.
Vertex AI consists of 3 core components:
- Vertex AI Model Garden
Explore a vast repository of pre-trained models, including Gemini, open-source models (think Mistral or Meta), and partner-developed solutions. Find the perfect option for your specific machine learning needs. - Vertex AI Model Builder
This user-friendly interface streamlines the model development process with features like prompt storage, model serving, and fine-tuning. Businesses can build and deploy models more efficiently. - Vertex AI Agent Builder
Vertex AI Agent Builder simplifies the agent-building process with features that streamline development and deployment. This flexible solution supports low-code/no-code or full-code options, pre-built connectors, and custom code integration. It makes it the ideal solution for creating engaging chatbots! Key features include:
- Easy Orchestration: LangChain on Vertex AI (Public Preview): Orchestrate complex workflows between multiple agents for seamless user experiences.
- Grounding in Google Search or Enterprise Data ensures trusted and accurate results. With Google Search Grounding (Public Preview), agents can integrate Google Search information to enhance response accuracy and reliability, providing users with citations and sources to verify information and identify biases. Custom Grounding with Enterprise Data (Generally Available) allows using your enterprise data, ensuring agents align with your specific knowledge base.
- Prepare for action: Vertex AI Agent Builder helps you connect LLMs to external tools; and call APIs and services.
- Custom Primitives: Build your components for tailored search experiences.
What else is new in AI?
Imagen 2.0 offers advanced image generation and editing. You can generate live images from text prompts and add a digital watermark for safety. You can also edit generated or customise existing images or even create live images up to 4 seconds long.
MLOps for Large Models helps you manage and evaluate prompts and models.
- Prompt Management: Versioning and comparison features allow tracking changes over time and side-by-side comparisons to identify the best options. Enable effective collaboration with customisable notes by documenting specific details and tracking your progress. In addition, AI-assisted prompting (Coming Soon) will offer feedback to refine and improve prompt effectiveness.
- Evaluation: The rapid evaluation tool (in Preview) facilitates a quick assessment of model performance with small datasets. Auto SxS, now generally available, can even assess two different models using a large language model, providing explanations of performance differences and certainty scores to help users understand accuracy.
Conclusion
You’re now fully up to speed with the latest Google Gemini news. It’s clear: Google Cloud’s AI advancements, the Gemini models, the Gemini Assistant, and the Vertex AI platform are transforming business operations. These tools streamline app development, simplify cloud management, and enhance security.
Ready to explore AI’s potential for your business? Try our AI Discovery Engine to see how these innovations can drive your growth.
Ready to explore AI’s potential for your business?
Try our AI Discovery Engine to see how these innovations can drive your growth.