Arcee-Agent
Maintainer: arcee-ai
79
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model Overview
Arcee-Agent is a cutting-edge 7B parameter language model specifically designed for function calling and tool use. Initialized from Qwen2-7B, it rivals the performance of much larger models while maintaining efficiency and speed. This model is particularly suited for developers, researchers, and businesses looking to implement sophisticated AI-driven solutions without the computational overhead of larger language models.
Compared to similar models like [object Object], Arcee-Agent focuses more on advanced function calling capabilities, allowing it to seamlessly interact with a wide range of external tools, APIs, and services. It also supports multiple tool use formats, including Glaive FC v2, Salesforce, and Agent-FLAN, making it a versatile choice for diverse applications.
Model Inputs and Outputs
Arcee-Agent takes in text-based prompts and can generate text outputs, as well as execute external function calls.
Inputs
- Text Prompts: The model accepts text-based prompts that describe a task or request.
- Function Definitions: At the start of a conversation, the model is provided with a definition of the available functions it can call to assist the user.
Outputs
- Text Responses: The model generates natural language responses to the user's prompts.
- Function Calls: When appropriate, the model will output a structured function call, prefixed with
<functioncall>, to execute an external tool or service.
Capabilities
Arcee-Agent excels at interpreting, executing, and chaining function calls, allowing it to seamlessly integrate with a wide range of external tools and services. This capability makes it well-suited for applications that require sophisticated AI-driven automation, such as:
- API Integration: Easily interact with external APIs to fetch real-time data, post updates to social media, send emails, and more.
- Workflow Automation: Chain multiple function calls together to automate complex multi-step workflows.
- Business Process Optimization: Leverage
Arcee-Agent's function calling abilities to streamline and optimize various business processes.
What Can I Use It For?
Developers, researchers, and businesses can leverage Arcee-Agent to build a wide range of AI-powered applications and solutions. Some potential use cases include:
- Intelligent Assistants: Integrate
Arcee-Agentinto your virtual assistant to provide advanced functionality and seamless integration with external tools. - Workflow Automation: Automate complex workflows by chaining together function calls to external services and APIs.
- Business Process Optimization: Use
Arcee-Agentto analyze and optimize business processes, streamlining operations and improving efficiency. - Rapid Prototyping: Quickly develop and iterate on AI-powered features and products by leveraging
Arcee-Agent's function calling capabilities.
Things to Try
One interesting aspect of Arcee-Agent is its dual-mode functionality, allowing it to serve as both an intelligent middleware for routing requests to appropriate tools and a standalone chat agent capable of engaging in human-like conversations. Consider experimenting with these different modes to see how the model can best suit your needs.
Additionally, the model's support for various tool use formats, such as Glaive FC v2 and Salesforce, opens up a world of possibilities for integrating it into your existing technology stack. Try testing the model with different function definitions and observing how it adapts and responds.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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