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README.md
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<div align="center">
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<img src="https://i.ibb.co/CBHmTDn/136719a5-6d8a-4654-a618-46eabc788953.jpg" alt="Arcee-Agent" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
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</div>
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Arcee Agent is a cutting-edge 7B parameter language model from arcee.ai 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. Compute for training Arcee-Agent was provided by [CrusoeAI](https://huggingface.co/crusoeai). Arcee-Agent was trained using [Spectrum](https://arxiv.org/abs/2406.06623).
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Full model is available here: [Arcee-Agent](https://huggingface.co/arcee-ai/Arcee-Agent).
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### Key Features
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1. **Advanced Function Calling:** Arcee Agent excels at interpreting, executing, and chaining function calls. This capability allows it to interact seamlessly with a wide range of external tools, APIs, and services.
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2. **Multiple Format Support:** The model is compatible with various tool use formats, including:
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- Glaive FC v2
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- Salesforce
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- Agent-FLAN
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Arcee-Agent performs best when using the VLLM OpenAI FC format, but it also excels with prompt-based solutions. Agent-Spark can accommodate any specific use case or infrastructure needs you may have.
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4. **Dual-Mode Functionality:**
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- Tool Router: Arcee Agent can serve as intelligent middleware, analyzing requests and efficiently routing them to appropriate tools or larger language models for processing.
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- Standalone Chat Agent: Despite its focus on function calling, Arcee Agent is capable of engaging in human-like conversations and completing a wide range of tasks independently.
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5. **Unparalleled Speed and Efficiency:** With its 7B parameter architecture, Arcee Agent delivers rapid response times and efficient processing, making it suitable for real-time applications and resource-constrained environments.
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6. **Competitive Performance:** In function calling and tool use tasks, Arcee Agent competes with the capabilities of models many times its size, offering a cost-effective solution for businesses and developers.
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## Detailed Function Calling and Tool Use Capabilities
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Arcee Agent's function calling and tool use capabilities open up a world of possibilities for AI-driven applications. Here's a deeper look at what you can achieve:
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1. **API Integration:** Seamlessly interact with external APIs, allowing your applications to:
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- Fetch real-time data (e.g., stock prices, weather information)
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- Post updates to social media platforms
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- Send emails or SMS messages
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- Interact with IoT devices
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2. **Database Operations:** Execute complex database queries and operations through natural language commands, enabling:
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- Data retrieval and analysis
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- Record updates and insertions
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- Schema modifications
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3. **Code Generation and Execution:** Generate and run code snippets in various programming languages, facilitating:
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- Quick prototyping
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- Automated code review
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- Dynamic script generation for data processing
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4. **Multi-step Task Execution:** Chain multiple functions together to complete complex tasks, such as:
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- Booking travel arrangements (flights, hotels, car rentals)
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- Generating comprehensive reports from multiple data sources
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- Automating multi-stage business processes
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## Business Use Cases
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Arcee Agent's unique capabilities make it an invaluable asset for businesses across various industries. Here are some specific use cases:
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1. **Customer Support Automation:**
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- Implement AI-driven chatbots that handle complex customer inquiries and support tickets.
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- Automate routine support tasks such as password resets, order tracking, and FAQ responses.
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- Integrate with CRM systems to provide personalized customer interactions based on user history.
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2. **Sales and Marketing Automation:**
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- Automate lead qualification and follow-up using personalized outreach based on user behavior.
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- Generate dynamic marketing content tailored to specific audiences and platforms.
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- Analyze customer feedback from various sources to inform marketing strategies.
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3. **Operational Efficiency:**
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- Automate administrative tasks such as scheduling, data entry, and report generation.
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- Implement intelligent assistants for real-time data retrieval and analysis from internal databases.
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- Streamline project management with automated task assignment and progress tracking.
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4. **Financial Services Automation:**
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- Automate financial reporting and compliance checks.
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- Implement AI-driven financial advisors for personalized investment recommendations.
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- Integrate with financial APIs to provide real-time market analysis and alerts.
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5. **Healthcare Solutions:**
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- Automate patient record management and data retrieval for healthcare providers.
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6. **E-commerce Enhancements:**
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- Create intelligent product recommendation systems based on user preferences and behavior.
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- Automate inventory management and supply chain logistics.
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- Implement AI-driven pricing strategies and promotional campaigns.
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7. **Human Resources Automation:**
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- Automate candidate screening and ranking based on resume analysis and job requirements.
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- Implement virtual onboarding assistants to guide new employees through the onboarding process.
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- Analyze employee feedback and sentiment to inform HR policies and practices.
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8. **Legal Services Automation:**
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- Automate contract analysis and extraction of key legal terms and conditions.
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- Implement AI-driven tools for legal research and case law summarization.
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- Develop virtual legal assistants to provide preliminary legal advice and document drafting.
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9. **Educational Tools:**
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- Create personalized learning plans and content recommendations for students.
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- Automate grading and feedback for assignments and assessments.
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10. **Manufacturing and Supply Chain Automation:**
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- Optimize production schedules and inventory levels using real-time data analysis.
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- Implement predictive maintenance for machinery and equipment.
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- Automate quality control processes through data-driven insights.
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## Benchmarking
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<div align="center">
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<img src="https://i.ibb.co/xmgswP8/Screenshot-2024-07-02-at-1-49-04-PM.png" alt="Arcee-Agent-Evals" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
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</div>
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## Intended Uses
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Arcee Agent is designed for a wide range of applications where efficient function calling and tool use are crucial. Some potential use cases include:
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- Developing sophisticated chatbots and virtual assistants with advanced tool integration
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- Creating efficient middleware for routing and preprocessing requests to larger language models
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- Implementing AI-driven process automation in resource-constrained environments
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- Prototyping and testing complex tool-use scenarios without the need for more computationally expensive models
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- Building interactive documentation systems that can execute code examples in real-time
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- Developing intelligent agents for IoT device management and home automation
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- Creating AI-powered research assistants for various scientific disciplines
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## Limitations
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While Arcee Agent excels in its specialized areas, users should be aware of its limitations:
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- The model's general knowledge and capabilities outside of function calling and tool use may be more limited compared to larger, general-purpose language models.
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- Performance in tasks unrelated to its core functionalities may not match that of models with more diverse training.
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- As with all language models, outputs should be validated and used responsibly, especially in critical applications.
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- The model's knowledge cutoff date may limit its awareness of recent events or technological advancements.
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