Salman Paracha, Founder/CEO of Katanemo, introduces Arch GW, an open-source intelligent gateway for prompts that enables function calling in apps, offering a cost-effective and efficient solution for developers to personalize their applications using state-of-the-art LLMs.
Auto-regressive language model, NVIDIA A100 GPUs, vLLM
2024-10-17
- website
Highlight 1
Arch-Function provides high throughput, significantly faster than competing models, which can enhance productivity for developers.
Highlight 2
Its pricing model is competitive, offering substantial savings compared to alternatives like GPT-4o, making it accessible for more users.
Highlight 3
The model supports a wide range of use cases through function calling, allowing developers to tailor it to specific business needs easily.
Improvement 1
The documentation could provide clearer examples and use cases to help new users understand how to implement and utilize the model effectively.
Improvement 2
A more intuitive interface for interacting with the model could enhance user experience, especially for those less technical.
Improvement 3
Building a stronger community around the open-source project could foster collaboration and support among users, expanding its adoption and refinement.
Product Functionality
Consider adding more interactive demos or sandbox environments for users to test the model's capabilities before implementing it in their applications.
UI & UX
Enhance the website's design with a more modern aesthetic and clearer navigation to improve user interaction and discovery of features.
SEO or Marketing
Implement a blog or resource section that regularly shares insights, case studies, and tutorials related to the use of Arch-Function, helping to boost organic search visibility.
MultiLanguage Support
Plan to support multiple languages by adding localization options, which could attract a broader, global user base.
- 1
What is function calling in Arch-Function?
Function calling refers to the ability of the Arch-Function model to execute predefined functions or APIs based on user prompts, enabling tailored interaction and data manipulation.
- 2
How fast is the Arch-Function model?
The Arch-Function model offers a throughput of approximately 1900 output tokens per second when run on NVIDIA A100 GPUs using the vLLM framework.
- 3
Is Arch-Function open source?
Yes, Arch-Function is available under an open-source license, which promotes flexibility and community contributions.