Commit Graph

224 Commits

Author SHA1 Message Date
Lliar-liar c42d541828 Refine project links and citation section 2026-05-24 18:24:48 +00:00
Lliar-liar 2e05edc399 Add project links and citation section 2026-05-24 18:18:36 +00:00
Lliar-liar 6e7d5d0117 Clarify hero harness names 2026-05-24 18:15:35 +00:00
Yif Yang 441ccb9bda Update README.md 2026-05-25 02:15:02 +08:00
Lliar-liar 88a99048a4 Align method comparison chart with page theme 2026-05-24 18:05:23 +00:00
Lliar-liar bf2106808e Remove method comparison implementation caption 2026-05-24 18:03:21 +00:00
Lliar-liar ba0fa8c14b Render method comparison from raw data 2026-05-24 18:00:08 +00:00
Lliar-liar 9012a79827 Add main results method comparison chart 2026-05-24 17:55:22 +00:00
Lliar-liar c64fbcd4f8 Shorten hero target model label 2026-05-24 17:51:11 +00:00
Lliar-liar 6e1027f01a Add harness count to hero badge 2026-05-24 17:48:32 +00:00
Lliar-liar cd56a5fe7d Make hero results badge more prominent 2026-05-24 17:43:29 +00:00
Lliar-liar bbb250cc63 Clarify hero setting wins 2026-05-24 17:36:45 +00:00
Lliar-liar 5c45add28b Update hero metrics to video results framing 2026-05-24 17:30:13 +00:00
Lliar-liar e1896c691c Improve ablation table layout 2026-05-24 17:23:28 +00:00
Lliar-liar ec0841cccf Remove duplicate GPT-5.5 results table 2026-05-24 17:15:24 +00:00
Lliar-liar 4019f1cbe7 Align webpage model terminology 2026-05-24 17:12:43 +00:00
Lliar-liar cad3ab2d19 Simplify main results webpage table 2026-05-24 17:10:35 +00:00
Lliar-liar 9a064f7c97 Use YouTube teaser video 2026-05-24 14:59:26 +00:00
Lliar-liar 74cbe704fc Polish project webpage copy 2026-05-24 14:55:44 +00:00
Lliar-liar 5862bbdc97 Add SkillOpt project webpage 2026-05-24 14:16:34 +00:00
microsoft-github-policy-service[bot] d4f9f4d5c5 Microsoft mandatory file 2026-05-22 10:48:38 +00:00
CharlesYang030 e27aac30ef docs: add draft release notice 2026-05-21 17:39:36 +00:00
CharlesYang030 76a58e6e7a docs: polish README header and remove license section 2026-05-21 17:34:47 +00:00
CharlesYang030 244e346b83 SkillOpt v0.1.0: initial release
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
2026-05-21 17:22:04 +00:00