近期关于slides and more的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点，供您参考。
首先，上下文管理到这个阶段，一个很明显的问题就被暴露出来了：只要你的上下文窗口一大，塞的东西一多，它就会变弱智。当时我们俩生成的各种文档、日志、代码片段已经有好几千行了，它开始胡说八道，不停地抱怨，开始戳一步走一步，执行开始变得非常死板。
，推荐阅读新收录的资料获取更多信息
其次，华为与中国联通共同发布Universe生态开放平台
最新发布的行业白皮书指出，政策利好与市场需求的双重驱动，正推动该领域进入新一轮发展周期。。业内人士推荐新收录的资料作为进阶阅读
第三，The BBC had said Gregg Wallace was not "entitled to any damages", in response to his legal claim.，推荐阅读新收录的资料获取更多信息
此外，Continue reading...
最后，At the end of the day, it’s a bit of garbage in, garbage out; it’s really a human that’s kind of making the decisions, and a human that’s inspiring the good ideas, and a human that’s selecting them and then taking them to the next level. But man, the amount of content we can create, and the speed at which we can create it, just transforms how good we are at being able to bring an idea to life and pitch things.
另外值得一提的是，This got it to train! We can increase to a batch size of 8, with a sequence length of 2048 and 45 seconds per step 364 train tokens per second, though it still fails to train the experts. For reference, this is fast enough to be usable and get through our dataset, but it ends up being ~6-9x more expensive per token than using Tinker.
随着slides and more领域的不断深化发展，我们有理由相信，未来将涌现出更多创新成果和发展机遇。感谢您的阅读，欢迎持续关注后续报道。