I left the rest to deepseek and got to the Windows boot screen.
Heavy! DSH Game Workshop dsh‑game‑studio open source🎮
Based on DeepSeek Harness Creative mode, integrating Kimi game plan In a word, playable mini-games are directly generated. Brainstorm turns into a game in seconds, developers rush! Demo 👉
Muse’s new spatial function released yesterday is awesome!
甚至还有点Deepseek Harness的创造者模式快速生成插件的那感觉了... 个人工作 主题可以方便的可视化的组织和管理起来 也提供了更多的交互和扩展能力
Gradient descent | Why is it the underlying cornerstone of all large models?
Gradient descent | Why is it the underlying cornerstone of all large models? Many people talk about large models, GPT, DeepSeek, parameters, and computing power, but they rarely talk about the bottom core - gradient descent. It is not a cool new algorithm, but it is the cornerstone of almost all large model training. Simple vernacular explanation: We can think of model training as going down a mountain.
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