I didn’t want to manually verify LLM-generated code. I wanted to give the LLM specifications, test cases, documentation, and sample outputs, and make it do all the difficult work of figuring out if it was doing the right thing.
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I took two of the most-cited Benchmarks Game problems -- n-body and spectral-norm -- reproduced them on my machine, and ran every optimization tool I could find. Then I added a third benchmark -- a JSON event pipeline -- to test something closer to real-world code.，详情可参考博客
另一个是波束管理。大规模MIMO基站可以生成多个窄波束，覆盖不同方向的用户。但用户是移动的，波束需要跟着人走。如果波束切换不及时，就会掉线。AI可以预测用户的移动轨迹，提前把波束切过去，让用户的体验更流畅。