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Akshobhya
@akshobhya_j Editor & Promoter
Can you reply to this comment with the base model that you are using in this project?
Akshobhya
@akshobhya_j Editor & Promoter
Congratulations, @amir. This project has been shortlist as part of the Fifth Elephant Open Source AI Hackathon. You can apply to Microsoft Founders Hub for credits. Application details are explained at http://has.gy/o4RD
Do connect with the mentors to refine the idea and continue building the project.
All the best!
Sumod K Mohan
Amir, nice to see this. You should probably get 1 or 2 teams do significant contributions. Folks interested can look at the roadmap here (https://bodhilib-guide.readthedocs.io/en/latest/contributing/roadmap.html). Amir has over a decade of experience as an Engineering Leader. So if you don't have a solid project and want to contribute to one, here is one to contribute to.
Akshobhya
@akshobhya_j Editor & Promoter
@amir, thank you for your proposal submission to The Fifth Elephant Open Source AI Hackathon. The description effectively communicates Bodhilib's vision as an open-source, performant, and composable LLM library with a focus on multi-language support and plugin architecture. Bodhilib's open-source nature is clearly emphasized, supported by providing an easily accessible GitHub repository link. This submission needs to be updated based on the following considerations.
Concept Evaluation
The idea of an open-source, performant, multi-language, composable LLM library addresses a relevant need in the development community. The scope and potential impact are substantial, especially with the support for multiple platforms and languages.
Technical Feedback
The choice of Rust for core components and Python support with PyO3 demonstrates a strong technical foundation. It's essential to ensure seamless integration and performance optimization for the planned language bindings, especially for mobile and WebAssembly platforms. Consider addressing potential challenges when extending to TypeScript, Java, and Swift.
Roadmap Assessment
A clearly defined roadmap detailing the integration plans for additional language bindings and platform support, along with milestone deliverables, would provide transparency and direction for potential contributors.
Plugin Architecture
The emphasis on defining core interfaces and models while allowing diverse implementations through a plugin architecture is a sound approach. However, clear documentation and examples will be vital to encourage and guide potential vendors in their implementations.
Composable Design
The focus on composability within interfaces is a strong point. Detailing specific use cases and scenarios where this design facilitates pipeline creation without additional features will help potential users understand the value of this approach.
Community Interaction
Encouraging contributors to sign up and join the project is a positive step. Providing detailed contribution guidelines and fostering a welcoming environment for new members will be pivotal in building an active and vibrant community around Bodhilib.
Submission Enhancement
Consider enriching the proposal with visual aids or diagrams to illustrate the architecture and design concepts. Furthermore, detailing how individuals can contribute, including a breakdown of specific areas where assistance is needed, will attract potential contributors.
Feedback
Overall, the Bodhilib proposal holds significant promise. We are enthusiastic about the potential impact of this project and look forward to seeing its development. The inclusivity and technical robustness of the library are commendable, and we encourage you to continue fostering a collaborative and open environment for potential contributors.