Google Releases AI AGENT BUILDER! 🤖 Worth The Wait?
TLDRGoogle has unveiled its Vertex AI Agent Builder, a platform for creating powerful customer service agents. The announcement highlights the platform's ability to leverage models like Gemini 1.5 Pro for multimodal reasoning and context understanding. The demo showcases personalized shopping experiences and the potential for AI to assist in tasks like benefits enrollment and code transformations, emphasizing the integration with Google Workspace and the ease of creating extensions for specific tasks.
Takeaways
- 🚀 Google has launched an AI agent platform, Vertex AI Agent Builder, as part of their Google Cloud next 2024 keynote.
- 🌟 The Vertex AI model garden offers over 130 models, including open source and closed source options like Gemini, Llama, and Claude from Anthropic.
- 📊 The platform is designed for enterprise-level AI applications, with features like the ability to process large amounts of data and support for various modalities (language, vision, audio, etc.).
- 🎯 One of the highlights is Gemini 1.5 Pro, which offers a massive context window of up to 1 million tokens, allowing it to handle complex tasks like analyzing hour-long videos and understanding extensive codebases.
- 🔍 The platform also includes Code Gemma, a fine-tuned, lightweight open model designed for coding, which is based on the same technology used to create Gemini.
- 🤖 Google's agent framework focuses on customer service agents that can work across various channels and be integrated into product experiences with voice and video.
- 🏢 Enterprise use cases include customer agents for travel planning, home security setup, and improved recommendations in retail, among others.
- 🛠️ The Vertex AI Agent Builder allows users to create powerful customer agents through three key steps: customizing conversation flow, controlling topics, and improving response quality with vector-based search.
- 📹 A demo showcased the agent's ability to analyze a video to find a specific product and assist in a shopping experience, leveraging Gemini's multimodal reasoning.
- 📈 Google also teased future capabilities like AI-powered video creation with Google Vids and AI assistance for coding with Gemini 1.5 Pro, indicating a shift towards AI employees in the workplace.
Q & A
What is the main announcement from Google Cloud Next 2024?
-The main announcement is the launch of Google's agent platform, Vertex AI Agent Builder, which is part of their fast-growing Enterprise AI platform.
What does the Model Garden in Vertex AI provide?
-The Model Garden provides access to over 130 models, including open source and closed source models like Gemini, LLaMA, and stable diffusion, categorized by modality and task.
What is the significance of the 1 million token context window in Gemini 1.5 Pro?
-The 1 million token context window allows for processing vast amounts of information in a single stream, enabling tasks such as analyzing hour-long videos and understanding complex codebases.
How does Google's new product, Google Vids, differ from traditional video creation tools?
-Google Vids is an AI-powered video creation app that uses Gemini to assist in video writing, production, and editing, making it easier for users to create professional-quality videos with minimal effort.
What are some of the capabilities of the Vertex AI Agent Builder?
-The Vertex AI Agent Builder allows users to create customer agents that can have human-like conversations, control conversation flow, improve response quality with vector-based search, and integrate enterprise data.
How is Mercedes-Benz utilizing Google Cloud AI in their vehicles?
-Mercedes-Benz is using Google Cloud AI to offer personalized digital experiences, improve customer service, optimize marketing, and assist in the development of automated driving features.
What is the role of the AI agent in the workplace as demonstrated in the script?
-The AI agent in the workplace can perform tasks such as summarizing emails and videos, updating contact information, booking flights, and even coding assistance, making it a valuable tool for productivity and efficiency.
How does the Gemini model support multimodal inputs?
-The Gemini model supports multimodal inputs including text, audio, video, and images, allowing it to understand and reason across different formats of data.
What is the significance of the partnership between Google Cloud and HubSpot?
-The partnership allows for the integration of HubSpot's CRM data into the AI agent, providing a more comprehensive and personalized experience for users.
What is the potential of the 10 million token context window that is being worked on?
-The 10 million token context window has the potential to open up new use cases and allow for even more complex and large-scale data processing, further enhancing the capabilities of the AI.
Outlines
🚀 Google's Vertex AI Agent Builder Launch
The paragraph discusses the launch of Google's agent platform, Vertex AI, introduced during the Google Cloud Next 2024 keynote. The speaker highlights the platform's capabilities, including access to over 130 models in the Vertex AI Model Garden, such as the latest versions of Gemini and popular open models like Llama and Gemma. The speaker also shares their experience with the platform and its potential for enterprise AI applications.
🧠 Exploring the Features of Vertex AI and Customer Agents
This section delves into the specifics of Vertex AI's features, including the Model Garden and its variety of models sorted by modality and task. The speaker expresses excitement over the platform's large context window, which supports up to 1 million tokens, and the potential for new use cases. The paragraph also touches on customer agents, which are designed to improve customer service and sales by integrating with various channels and product experiences.
🤖 Opportunities and Limitations in AI Agent Development
The speaker discusses the missed opportunities in AI agent development, particularly in the context of Mercedes-Benz's infotainment system. They highlight the potential for AI agents to assist drivers by handling tasks that cannot be done manually while driving. The speaker also expresses disappointment with the limited scope of Google's agent framework, which they feel is not as advanced as other platforms like Autogen or Crew AI.
🛠️ Vertex AI Agent Builder: A First Look
In this section, the speaker provides a first look at the Vertex AI Agent Builder, a tool for creating customer agents. They outline the three key steps involved in the process: creating humanlike conversations, controlling the conversation flow with natural language instructions, and improving response quality with search capabilities. The speaker also notes the ability to integrate enterprise data and perform tasks for customers.
🎥 Demonstration of Customer Agent in Action
The speaker presents a scenario where a customer agent helps a user find a specific shirt based on a video clip. The agent leverages Gemini and Vector search to deliver a seamless shopping experience. While the speaker acknowledges the coolness factor of this feature, they express a desire for more innovative and future-oriented products from Google.
🏢 AI Employees and the Future of Work
This paragraph explores the concept of AI employees, agents that can perform tasks and accomplish things within the workplace. The speaker discusses the integration of custom models with company and web data, multimodal inputs, and the use of enterprise databases. They also mention the potential for Google to acquire HubSpot and the integration of CRM data into AI agents.
🎥 Introducing Google Vids: The AI-Powered Video Creation App
The speaker introduces Google Vids, a new addition to the Google Workspace app suite. Vids is an AI-powered video creation app that assists with video writing, production, and editing. The speaker demonstrates the ease of creating a video using Vids, showcasing how it generates a draft with animated scenes, stock media, and a script based on a provided prompt and context.
💻 Code Assistance with Gemini 1.5 Pro
The speaker discusses the capabilities of Gemini 1.5 Pro for code assistance. They describe how it enables developers to integrate business requirements and visual design to generate code recommendations. The speaker is impressed by Gemini's ability to understand and reason through the entire codebase, allowing for efficient and compliant code edits, and shares a demonstration of these features in action.
Mindmap
Keywords
💡Google Cloud Next 2024
💡Vertex AI Agent Builder
💡Gemini 1.5 Pro
💡Model Garden
💡AI Platform
💡Multimodal Reasoning
💡Customer Agents
💡Open Models
💡Code Assist
💡Google Workspace
Highlights
Google has launched an AI agent platform, Vertex AI Agent Builder, as part of their growing Enterprise AI platform.
The platform includes a Model Garden with over 130 models, such as the latest versions of Gemini PAR models and popular open models like Llama and Gemma.
The Model Garden is filterable by modality (language, vision, tabular, document) and task (generation, classification, etc.)
Gemini 1.5 Pro is introduced with a public preview, offering a large context window of up to 1 million tokens.
Google has leaked information about working on an even larger 10 million token context window for future developments.
The platform enhances Gemini 1.5 Pro with the ability to process audio, enabling cross-modality analysis.
Google Cloud is the only cloud provider to offer widely used first-party, third-party, and open-source models.
Code Gemma is announced, a fine-tuned lightweight open model designed for coding based on the same technology used to create Gemini.
Google Cloud's Vertex AI provides a single platform for model tooling and infrastructure, catering to various customer agent use cases.
Mercedes-Benz is partnering with Google Cloud AI to create intuitive and personalized experiences in their vehicles.
Google's agent framework is compared to OpenAI's custom GPTs, with a focus on customer service and sales agents.
Vertex AI Agent Builder allows creating powerful customer agents in three key steps, focusing on conversation, control, and improvement of response quality.
Google Workspace integration with AI agents enables summarization of emails and videos, providing a streamlined work experience.
The AI agent can cross-reference large amounts of data from various sources, including unstructured data like PDFs.
Google introduces a new product, Google Vids, an AI-powered video creation app for work, offering a seamless storytelling experience.
Gemini 1.5 Pro's code assist feature leverages a 1 million token context window to aid developers in understanding and modifying large codebases efficiently.
Google Cloud's AI tools and platforms aim to enhance productivity, creativity, and personalized experiences across various industries.