Gorilla AI technology page Top Builders

Explore the top contributors showcasing the highest number of Gorilla AI technology page app submissions within our community.

Gorilla: Large Language Model Connected with Massive APIs

Gorilla is a state-of-the-art Large Language Model (LLM) designed to understand and accurately invoke over 1,600 APIs by interpreting natural language queries. Its primary aim is to reduce hallucination and offer a user-friendly experience for both developers and non-developers. Gorilla is built by fine-tuning LLaMA weights and harnesses the power of transformer architecture to provide semantically and syntactically correct API calls.

Key Features

Accurately invoke 1,600+ APIs using natural language queries
Reduce hallucination in LLMs
User-friendly and adaptable to various needs and tools
Open-source and constantly evolving with community contributions

Setup and Usage

To get started with Gorilla, follow these steps:

Visit the Gorilla GitHub repository and follow the instructions to set up your local environment.
Try Gorilla with the provided Google Colab notebook, or run it locally using the instructions in the inference folder.
Explore the APIBench dataset and evaluation code released by the Gorilla team.
Contribute your API to the growing APIZoo, following the contribution guide.

Integration with Other Tools

Gorilla is designed to work seamlessly with other LLM tools, such as Langchain, ToolFormer, and AutoGPT. Its adaptability makes it an ideal candidate for integration into a wide range of applications and toolchains.

System Requirements

To use Gorilla, you must have Python 3.10 or later installed. Earlier versions of Python will not compile. It is recommended to have a reliable internet connection and sufficient computational resources for optimal performance.

Community and Support

Gorilla is an open-source project, and the team behind it actively encourages community contributions and support. You can join the Gorilla Discord server to engage with the community, ask questions, or provide feedback. If you'd like to contribute to the project, follow the APIZoo contribution guide and be a part of the growing API ecosystem.

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Gorilla AI technology page Hackathon projects

Discover innovative solutions crafted with Gorilla AI technology page, developed by our community members during our engaging hackathons.

NetConnect

Public Sector Network Connectivity Analyzer The Public Sector Network Connectivity Analyzer is a comprehensive solution designed to address the critical need for reliable network monitoring across public institutions. Our application serves as an essential tool for IT administrators managing connectivity infrastructure for schools, healthcare facilities, government offices, libraries, and other public service organizations. Core Capabilities Real-Time Network Visualization Interactive diagrams and topology maps provide clear visibility into how public institutions are connected, displaying network elements, connection points, and infrastructure components with intuitive visualization tools. Performance Monitoring System Our platform continuously tracks vital network metrics including uptime percentages, latency measurements, bandwidth utilization, and connection status across the entire public sector network, enabling proactive management. Advanced Simulation Engine IT professionals can run comprehensive simulations to test network resilience under various scenarios such as increased user loads, infrastructure failures, or cyber incidents, helping identify vulnerabilities before they impact critical services. Institution Management Portal Administrators can efficiently manage information about connected institutions, monitor their connection status in real-time, and access detailed performance metrics through a unified dashboard interface. Geographic Mapping Integration Our system incorporates geographic visualization capabilities to display the physical distribution of institutions and network infrastructure across regions, facilitating better resource allocation and planning. Technical Implementation This solution addresses the unique challenges faced by public sector organizations that require reliable connectivity for delivering essential services to communities, while providing the tools needed to ensure network resilience, performance, and security.

Llama Proxy

We propose using the LLaMA 3.1:1B model as a local proxy server to manage caches with JSON responses. Here's how the llama model can help us do just that: Query analysis and optimization Smart data management in the cache Optimization of communication with API Create intelligent cache management policies. Enrich responses and adding a layer of security and privacy to the application. Understand user behavior and tailor data to their needs. We can also approach the problem using the cloud model, when we do not have enough RAM to be able to run llama 3.1:1B. We can then send queries from time to time to the server, which would decide on the cache hierarchy, which would be the most important, and which items would already have a deletion time.