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Version: v1.6.14-dev3 🚧

Agents

Overview​

Enterprise h2oGPTe agents enhance the functionality and versatility of Enterprise h2oGPTe to execute a broader range of tasks autonomously. In other words, this setting allows the large language model (LLM) to perform actions such as running code, generating plots, searching the web, conducting research, developing and preparing models, and more.

Enterprise h2oGPTe agents are equipped with a diverse suite of tools and features designed to optimize workflows, enhance productivity, and simplify complex tasks.

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To learn how to use agents for dataset analysis and model development and preparation, consider the following tutorials:

Instructions​

To use agents in Enterprise h2oGPTe (enable an agent in a chat session) and configure the type of tools the agent can use, consider the following steps:

  1. In Enteprise h2oGPTe, click + New chat.
  2. Click the Use agent toggle.
  3. Click Settings.
  4. Click the Configuration tab.
  5. By default, in the Tools setting (under the Use agent setting), all available tools for an agent are selected. Unselect any of the tools available to an agent.

Agent tools

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To learn about each available tool for an agent, see Tools.

Tools​

Data analysis capabilities​

  1. H2O Driverless AI Data Science: Leverage AI capabilities for automated machine learning, data analysis, and model generation to extract actionable insights from complex datasets.

  2. Python Coding: Execute Python code snippets for custom data computations, machine learning tasks, or to automate data preprocessing.

  3. Advanced Reasoning: Perform context-aware reasoning to enhance decision-making processes.

Information retrieval and research​

  1. Scholar Papers Search: Locate scholarly papers, research articles, and academic content.

  2. Google search: Access Google's search capabilities to gather timely and accurate information.

  3. Bing search: Access Bing's search capabilities to gather timely and accurate information.

  4. Internet Access: Utilize general internet access for a wide range of tasks, from data retrieval to live updates.

  5. Wolfram Alpha Math Science Search: Solve scientific and mathematical problems using the computational knowledge engine for complex computations.

  6. Wikipedia Articles Search: Retrieve information from Wikipedia for learning or to support data analysis and research.

  7. Wayback Machine Search: Access archived versions of websites for research, historical context, or to reference past web content.

  8. Web Image Search: Find relevant images from the web to support visual analysis, presentations, or content creation.

  9. Ask Question About Documents: Extract or query information from uploaded documents for detailed insights.

Content generation and transformation​

  1. Image Generation: Create custom images based on textual descriptions.

  2. Audio-Video Transcription: Convert spoken content from audio or video files into text.

  3. Convert Document to Text: Transform scanned or digital documents into editable text formats.

  4. Screenshot Webpage: Capture screenshots of webpages.

  5. Mermaid Chart-Diagram Renderer: Generate flowcharts and diagrams.

Automation and scripting​

  1. Shell Scripting: Automate system-level tasks to streamline operations.

  2. Aider Code Generation: Automatically generate code snippets to accelerate development tasks, particularly for data science and machine learning models.

Specialized AI features​

  1. RAG Text: Enhance text-based tasks with retrieval-augmented generation.

  2. RAG Vision: Apply retrieval-augmented generation for vision-based tasks.

Multimedia processing​

  1. Download Web Video: Download web videos.

  2. Ask Question About Image: Query and analyze visual data.

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