Thanks @antonia0912 for the comprehensive summary. Allow me to provide some additional insights:
Based on the input received from participants and the local community, there are several shared areas of interest:
- There is a growing interest in TVM Unity, particularly due to its adaptability and dynamic shape support. While the MLC-LLM project has laid a solid foundation, the community is seeking a more efficient, extensively documented, and user-friendly codebase. We are actively working towards fulfilling these requirements.
- Emphasizing a Pythonic programming approach is crucial for ensuring a seamless user experience, regardless of whether individuals are utilizing TVM or other technical frameworks.
- Heterogeneous computing is rapidly gaining importance, and machine learning compilation plays a pivotal role in this context.