| # Showcase Documentation Guide | |
| This folder contains the current showcase-facing summary of the Taotern GSM/SSM LLM project. | |
| Recommended reading order: | |
| 1. `GSM_RnD_Showcase_Report.md` | |
| Start here. This is the full technical story from CHASM context to GSM, Euler Gamma SSM, bilinear/S4-style Gamma with convolution, DPLR, TaoNet SSM, hybrid TaoNet, and the 200M model candidates. It includes what worked, what failed, current benchmark findings, and open questions. | |
| 2. `GSM_Scaling_Law_Notes.md` | |
| Read this after the full report if you want the short paper-style lessons. It focuses on empirical scaling rules such as attention-to-SSM ratio, projection dimension, local shift, split lanes, token budget, and chatbot-readiness steps. | |
| 3. `GSM_RnD_Showcase_Report.docx` | |
| This is the Word version of the full report. Use it when preparing a paper draft, presentation material, or a document for non-code review. | |
| Suggested usage: | |
| - For technical onboarding: read the full Markdown report first. | |
| - For paper writing: use the `.docx` plus the scaling-law notes. | |
| - For quick project positioning: read the executive summary and scaling-law notes. | |
| The Markdown files are easier to maintain in Git. The `.docx` should be regenerated from the full report when major content changes are made. | |