Podcast Beta
Questions and Answers
What is the purpose of Code Assist?
What is the significance of the Gemini cist?
Why is local testing necessary after modifying the codebase?
What was the marketing team's request?
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What is planned for the future?
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What is a key feature of the Gemini 1.5 Pro model?
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What is the primary function of the Vertex AI Agent Builder?
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What is a unique capability of Enterprise agents?
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What is a benefit of integrating Vertex AI agents with Google Workspace?
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What is the purpose of Vertex AI?
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What is the primary benefit of Code Assist in handling large codebases?
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What is the estimated time required to modify the entire codebase?
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What is the key outcome of the updated marketing page?
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How does Code Assist ensure that code changes are aligned with the company's security and compliance requirements?
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What is the approach recommended for making modifications to the codebase?
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Study Notes
Vertex AI Agent Platform
- Google Cloud has launched a new agent platform, Vertex AI, which allows users to create customer agents that can process vast amounts of information in a single stream.
- The platform offers a single platform for model tooling and infrastructure.
- Vertex AI allows users to fine-tune models, augment and manage them, and monitor their performance.
Gemini Models
- Gemini 1.5 Pro is a model that offers a large context window, supporting up to 1 million tokens.
- The model is designed for coding and can process vast amounts of information, including 1-hour video and 11 hours of audio.
- Gemini models can be fine-tuned for specific use cases, such as coding.
Vertex AI Agent Builder
- The Vertex AI Agent Builder is a tool that allows users to create customer agents using a simple three-step process.
- The tool allows users to create free-flowing human-like conversations with text, voice, images, and video as inputs.
- Users can personalize the agents with custom voice models and control the conversation flow using natural language instructions.
Enterprise Agents
- Google is introducing a new type of agent, called Enterprise agents, which can perform tasks and accomplish things.
- These agents can be integrated with Enterprise data, including databases like Alloy DB and Big Query.
- The agents can also be used to automate tasks, such as benefits enrollment and document summarization.
Google Workspace Integration
- The Vertex AI agents can be integrated with Google Workspace, allowing users to access the agents directly from Google Chat.
- The agents can summarize emails and attached videos, and provide recommendations based on the content.
- The agents can also be used to create videos using Google Vids, a new video creation app for work.
Code Assist
- Code Assist is a feature of Vertex AI that allows developers to code with the assistance of AI.
- The feature uses Gemini's massive context window to provide clear recommendations and ensure that the code changes are aligned with the company's security and compliance requirements.
- Code Assist can handle large codebases, with over 100,000 lines of code, and can provide insights and recommendations like an experienced teammate.### Google Workspace Updates
- Gemini cist, an AI encoding tool, has been applied to the full repository
- Modifying the entire codebase would take over 70 hours of non-stop work
- Local testing is essential to check the workflow of modified apps
Code Modification
- Making modifications to the codebase doesn't require reading every single file and line of code
- Checking the workout by testing the modified app locally is a necessary step
Marketing Team Request
- The marketing team requested a "For You" recommendation section
- The updated marketing page is simple, but meets the marketing team's requirements
Future Plans
- A video about AI encoding will be created in the future
- Excitement about Google's announced cool stuff, despite limitations in the agent Builder
Vertex AI Agent Platform
- Vertex AI is a new agent platform launched by Google Cloud, enabling users to create customer agents that can process vast amounts of information in a single stream.
- The platform offers a single platform for model tooling and infrastructure, allowing users to fine-tune models, augment and manage them, and monitor their performance.
Gemini Models
- Gemini 1.5 Pro is a model that supports up to 1 million tokens, offering a large context window, and is designed for coding.
- Gemini models can process vast amounts of information, including 1-hour video and 11 hours of audio, and can be fine-tuned for specific use cases.
Vertex AI Agent Builder
- The Vertex AI Agent Builder is a tool that allows users to create customer agents using a three-step process, enabling free-flowing human-like conversations with text, voice, images, and video as inputs.
- Users can personalize the agents with custom voice models and control the conversation flow using natural language instructions.
Enterprise Agents
- Enterprise agents are a new type of agent that can perform tasks and accomplish things, and can be integrated with Enterprise data, including databases like Alloy DB and Big Query.
- These agents can automate tasks, such as benefits enrollment and document summarization.
Google Workspace Integration
- Vertex AI agents can be integrated with Google Workspace, allowing users to access the agents directly from Google Chat.
- The agents can summarize emails and attached videos, and provide recommendations based on the content.
Code Assist
- Code Assist is a feature of Vertex AI that allows developers to code with the assistance of AI, providing clear recommendations and ensuring code changes align with company security and compliance requirements.
- Code Assist can handle large codebases, with over 100,000 lines of code, and provide insights and recommendations.
Code Modification and Google Workspace Updates
- Gemini's massive context window has been applied to the full repository, requiring over 70 hours of non-stop work to modify the entire codebase.
- Local testing is essential to check the workflow of modified apps.
Marketing Team Request
- The marketing team requested a "For You" recommendation section, which has been implemented in the updated marketing page.
Future Plans
- A video about AI encoding is planned for future creation.
- Excitement surrounds Google's announced features, despite limitations in the agent Builder.
Vertex AI Agent Platform
- Vertex AI is a new agent platform launched by Google Cloud, enabling users to create customer agents that can process vast amounts of information in a single stream.
- The platform offers a single platform for model tooling and infrastructure, allowing users to fine-tune models, augment and manage them, and monitor their performance.
Gemini Models
- Gemini 1.5 Pro is a model that supports up to 1 million tokens, offering a large context window, and is designed for coding.
- Gemini models can process vast amounts of information, including 1-hour video and 11 hours of audio, and can be fine-tuned for specific use cases.
Vertex AI Agent Builder
- The Vertex AI Agent Builder is a tool that allows users to create customer agents using a three-step process, enabling free-flowing human-like conversations with text, voice, images, and video as inputs.
- Users can personalize the agents with custom voice models and control the conversation flow using natural language instructions.
Enterprise Agents
- Enterprise agents are a new type of agent that can perform tasks and accomplish things, and can be integrated with Enterprise data, including databases like Alloy DB and Big Query.
- These agents can automate tasks, such as benefits enrollment and document summarization.
Google Workspace Integration
- Vertex AI agents can be integrated with Google Workspace, allowing users to access the agents directly from Google Chat.
- The agents can summarize emails and attached videos, and provide recommendations based on the content.
Code Assist
- Code Assist is a feature of Vertex AI that allows developers to code with the assistance of AI, providing clear recommendations and ensuring code changes align with company security and compliance requirements.
- Code Assist can handle large codebases, with over 100,000 lines of code, and provide insights and recommendations.
Code Modification and Google Workspace Updates
- Gemini's massive context window has been applied to the full repository, requiring over 70 hours of non-stop work to modify the entire codebase.
- Local testing is essential to check the workflow of modified apps.
Marketing Team Request
- The marketing team requested a "For You" recommendation section, which has been implemented in the updated marketing page.
Future Plans
- A video about AI encoding is planned for future creation.
- Excitement surrounds Google's announced features, despite limitations in the agent Builder.
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Description
Learn about Google Cloud's Vertex AI platform, which allows users to create customer agents and fine-tune models, and Gemini Models, a type of model that offers a large context window.
