Objectives
- Auto LLM inference config tuner

Key Results
- [2/10] Workload grouping methods
- [9/10] Build the first version auto tuner system
- [8/10] Check the current situation of parallelism config optimization
- [4/10] Understand the possibility/challenges in LLM inference compute graph arrangement automatically
- [1/10] Define the IR for automatic optimization
- [5/10] Profile different parallelism setup with real trace and analysis their difference

Last Week
- [KR2] Run AI Tuner under the current Ali workload groups (input length / label), and try to find the insights for building a better AI Tuner.
- [misc] Build system for EuroSys Shadow experiment.

Next Week
- Compare the AI Tuner results with Ali's current situation to find more insights for AI Tuner.
