Google Releases AI AGENT BUILDER! 🤖 Worth The Wait?

Matthew Berman
12 Apr 202434:20

TLDRGoogle has unveiled its Vertex AI Agent Builder, a platform for creating powerful customer service agents. The tool integrates with various Google services and allows for personalization, multimodal inputs, and natural language control. It also supports cross-modality analysis and can connect to enterprise data for enhanced functionality. Google's new offering aims to streamline the creation of AI agents for businesses, although it may not yet meet the expectations of those looking for more advanced, fully-featured frameworks.

Takeaways

  • 🚀 Google has launched an AI agent platform, Vertex AI Agent Builder, as part of their Google Cloud Next 2024 keynote.
  • 🌟 The Vertex AI platform includes a Model Garden with over 130 models, such as Gemini, Llama, and Claude from Anthropic.
  • 📊 The platform is designed to help users choose the best model for their specific use case, budget, and performance needs.
  • 🔍 Gemini 1.5 Pro is now in public preview, offering a massive context window of up to 1 million tokens for processing vast amounts of information.
  • 🎥 The platform supports multimodal analysis, including audio and video content, enhancing its capabilities for cross-modality tasks.
  • 🔧 Code Gemma, a lightweight open model for coding, has been released by Google, leveraging the same technology used to create Gemini.
  • 🤝 Google Cloud continues to be the only cloud provider offering a wide range of first-party, third-party, and open-source models.
  • 💬 The AI agent framework from Google is focused on customer service agents, aiming to improve customer interactions across various channels.
  • 🛠️ The Vertex AI Agent Builder allows users to create powerful customer agents through three key steps: customizing conversations, controlling conversation flow, and improving response quality.
  • 📈 Google is integrating AI into more enterprise applications, such as HubSpot, and enhancing workplace productivity with AI-powered agents.

Q & A

  • What is the main topic of the Google Cloud Next 2024 keynote speech?

    -The main topic of the Google Cloud Next 2024 keynote speech is the launch of Google's agent platform and an overview of the Vertex AI Agent Builder.

  • What does the Model Garden in Vertex AI provide?

    -The Model Garden in Vertex AI provides access to over 130 models, including open source and closed source models, and popular models like Claude from Anthropic, Llama, Gemma, and MRR.

  • What is the significance of the 1 million token context window in Gemini 1.5 Pro?

    -The 1 million token context window in Gemini 1.5 Pro allows customers to process vast amounts of information in a single stream, enabling capabilities like analyzing an hour-long video or 30,000 lines of code.

  • How is Google Cloud's new product, Google Vids, described in the keynote?

    -Google Vids is described as an AI-powered video creation app for work, which helps users with video writing, production, and editing, all in one tool.

  • What is the role of the Vertex AI Agent Builder in creating customer agents?

    -The Vertex AI Agent Builder allows users to create powerful customer agents through three key steps: generating human-like conversations, controlling the conversation flow with natural language instructions, and improving response quality with vector-based and keyword-based search.

  • How does the Gemini 1.5 Pro model support cross-modality analysis?

    -Gemini 1.5 Pro supports cross-modality analysis by enabling the processing of audio, allowing users to search within audio and video content, and find specific timestamps or details.

  • What is an example of a real-world application of the large context window capability?

    -An example of a real-world application is a university professor using it to extract data from a 3,000-page document with texts, data tables, and charts in just a single operation.

  • What is the main difference between the Vertex AI Agent Builder and previous Google Cloud services like Dialogflow?

    -The main difference is that the Vertex AI Agent Builder offers more advanced capabilities and integrations, such as multimodal reasoning and the ability to connect with enterprise data and applications, whereas Dialogflow was more limited in its functionality.

  • How does the keynote address the potential for AI in the workplace?

    -The keynote addresses the potential for AI in the workplace by showcasing how agents can perform tasks, accomplish things, and integrate with company and web data, including multimodal inputs and enterprise applications.

  • What is the role of the codeGPT model in the new Google Workspace products?

    -The codeGPT model is used to assist with coding tasks, such as understanding and transforming large codebases, providing clear recommendations for changes, and aligning with security and compliance requirements.

Outlines

00:00

🎥 Overview of Google's Vertex AI Agent Builder

The video begins with a discussion on the launch of Google's Vertex AI Agent Builder, introduced at the Google Cloud Next 2024 event. The presenter showcases the platform's 'model garden' which hosts over 130 AI models, including both open source and proprietary ones like Gemini, Llama, Gemma, and others. The models are categorized by modality and task, allowing for easy access and implementation. The speaker is impressed by the inclusion of models such as Gemini 1.5 Pro in the platform, highlighting its public preview and its ability to process up to a million token context windows, which facilitates complex tasks like video and audio analysis within a single query.

05:02

🔍 Google Cloud's Agent Platform and Industry Applications

This section delves into Google Cloud's expanded AI offerings with a focus on their agent platform. It discusses the types of customer agents being developed, comparing them to existing services like OpenAI’s GPTs, but noting a perceived lack of advanced capabilities in Google's framework. Key industry collaborations, such as with Mercedes-Benz for enhanced digital experiences in cars, are highlighted. Despite significant partnerships, the speaker expresses disappointment that more innovative applications, like agents integrated into car infotainment systems, were not pursued.

10:02

🤖 Critique of Google's Limited Agent Capabilities

The speaker critiques the limited scope of Google's agent applications, primarily focusing on customer service bots, which he finds unexciting compared to potential cutting-edge applications. He is disappointed that Google's new offerings seem to revolve around safe, conventional customer service enhancements rather than innovative, transformative uses of AI technology. There is also a comparison with Google’s earlier product, Dialogflow, highlighting that while the new agent framework may have made improvements, it still falls short of a more visionary application of AI.

15:04

🛍️ Vertex AI Agent Builder Demo and Its Limitations

The fourth paragraph provides a walkthrough of the Vertex AI Agent Builder, showing how to create an agent with specific tasks like weather reporting. However, the speaker is critical of the platform’s interface and functionality, finding it lacking in intuitive code integration and flexibility. He points out that while the interface is polished, the actual utility and depth of the agent capabilities are minimal, comparing unfavorably to more sophisticated systems like OpenAI’s custom GPTs.

20:05

👔 Google's Integration of AI in Workplace and Employee Services

The final section discusses Google's initiatives to integrate AI more deeply into workplace solutions, offering functionalities such as summarizing emails and integrating with Google Workspace for streamlined operations. However, the speaker remains underwhelmed by the actual implementation of these AI agents in real-world tasks, despite appreciating the theoretical advancements. He remains hopeful for future enhancements that could more fully utilize the potential of AI in professional settings.

Mindmap

Keywords

💡Google Cloud

Google Cloud is a suite of cloud computing services offered by Google, which includes Google's version of SaaS, PaaS, and IaaS. In the context of the video, Google Cloud is the platform that hosts the newly launched AI agent builder, providing a range of services and tools for businesses to leverage AI technology for various applications.

💡AI Agent Builder

AI Agent Builder is a tool or service introduced by Google that enables users to create AI agents tailored to specific tasks or functions. These agents can be integrated into various systems and workflows, such as customer service, content summarization, or automated assistance. The video discusses the capabilities and features of this builder, highlighting its potential to revolutionize how businesses interact with their customers and manage their operations.

💡Gemini 1.5 Pro

Gemini 1.5 Pro is an AI model mentioned in the video that is part of Google's model garden. It is characterized by its ability to process vast amounts of information with a context window of up to 1 million tokens, which is particularly useful for understanding and generating responses based on extensive data sets. The video suggests that this model is particularly powerful for tasks such as analyzing long videos or documents, and could be used in various applications, including customer service and content analysis.

💡Model Garden

The Model Garden is a collection of AI models accessible through Google's Vertex AI platform. It includes a variety of models, both open source and closed source, that can be used for different tasks and modalities such as language, vision, and audio processing. The video emphasizes the diversity and utility of these models, which can be selected based on specific use cases, budgets, and performance needs.

💡Context Window

In the context of AI models like Gemini 1.5 Pro, the term 'context window' refers to the amount of data or text that the model can consider at one time for processing and generating responses. A larger context window, such as the 1 million token limit mentioned in the video, allows the AI to understand and reason over more extensive and complex information sets, which can significantly enhance its performance in tasks like summarization, question-answering, and content analysis.

💡Vertex AI

Vertex AI is Google's enterprise AI platform that is designed to help businesses integrate AI into their operations. It includes a range of tools and services for model development, tuning, management, and monitoring. The platform is highlighted in the video for its ability to support various AI models and tasks, and for its role in the newly launched AI agent builder.

💡Customer Agents

Customer agents, as discussed in the video, are AI-powered entities designed to interact with customers, providing services such as sales assistance, customer support, and information retrieval. These agents can operate across different channels and platforms, offering a seamless and personalized experience to users. The video suggests that Google's AI agent builder and other tools are aimed at making it easier for businesses to create and deploy such customer agents.

💡Multimodal Reasoning

Multimodal reasoning refers to the ability of an AI system to process and understand multiple types of data inputs, such as text, audio, and images. In the context of the video, Gemini's multimodal capabilities allow it to analyze and generate responses based on a combination of text from an email, an attached video, or other forms of media. This enhances the AI's ability to provide comprehensive and contextually relevant information to users.

💡Code Assist

Code Assist is a feature or tool powered by AI that aids developers in writing, transforming, and editing code. In the video, it is suggested that Code Assist, leveraging the capabilities of Gemini 1.5 Pro, can understand and make recommendations on large codebases, enabling developers to implement changes more efficiently. This tool is particularly useful for tasks such as modifying web applications or services to integrate new features.

💡Google Vids

Google Vids is a new addition to the Google Workspace suite, as announced in the video. It is an AI-powered video creation app designed for work, which integrates with other Google Workspace products. Vids uses AI to assist in video writing, production, and editing, allowing users to create professional-quality videos with minimal effort by providing features such as narrative outlines, animations, and stock media based on user input and context.

Highlights

Google has launched an AI agent platform, Vertex AI Agent Builder, as part of their Google Cloud Next 2024 keynote.

The Vertex AI platform includes a Model Garden with over 130 models, such as the latest versions of Gemini and popular open models like Llama and Gemma.

Gemini 1.5 Pro offers the world's largest context window, supporting up to 1 million tokens and enabling processing of vast amounts of information in a single stream.

Google has leaked that they are working on 10 million token context windows, which could open up new use cases for AI.

The new Code Gemma model is a fine-tuned, lightweight open model designed for coding, created using the same technology as Gemini.

Google Cloud is the only cloud provider to offer a wide range of first-party, third-party, and open-source models.

Google's Agent Framework is focused on customer service agents that can listen, understand needs, and recommend products and services across various channels.

Mercedes-Benz is working with Google to equip their cars with high-end computers for a more personalized and intuitive customer experience.

The Vertex AI Agent Builder allows users to create powerful customer agents in three key steps, including custom voice models and natural language instructions.

Google's new product, Google Vids, is an AI-powered video creation app for work, allowing users to create videos with a narrative outline and customized style.

Gemini Code Assist leverages a 1 million token context window to help developers make code changes, understand the codebase, and meet business requirements.

Google Workspace integration allows agents to perform tasks across Gmail, Google Docs, and Google Calendar.

The agent platform can support multimodal inputs, including text, audio, video, and images, for a more comprehensive user experience.

Google is rumored to be acquiring HubSpot, which would further integrate their AI capabilities into CRM data and enterprise applications.

The AI agent can extract data from large documents, like a 3,000-page PDF with text, data tables, and charts, in a single shot.

Google's AI platform can process audio, enabling cross-modality analysis for searching within audio and video content.

The AI agent can improve response quality with vector-based and keyword-based search, connecting internal information and the entire web.

Google's AI platform can be used to tune, augment, manage, and monitor models, providing a comprehensive solution for enterprise AI needs.

The AI agent builder is designed to create customer agents that can update contact information, book flights, order food, and complete other tasks for customers.