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Angelino Santiago

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liked a Space 3 minutes ago
ByteDance/SeedEdit-APP
reacted to hesamation's post with ❤️ about 4 hours ago
this paper lists ways to make reasoning LLMs more efficient: > enforce token limits per reasoning step > route tasks to different models (small/large) > compress reasoning chains during SFT > reward based on reasoning length > parallel search at test-time and more... @Xiaoye08 @yaful @Warrieryes https://huggingface.co/papers/2503.21614
reacted to AdinaY's post with 👀 about 17 hours ago
AutoGLM 沉思💫 FREE AI Agent released by ZhipuAI ✨ Think & Act simultaneously ✨ Based on a fully self-developed stack: GLM-4 for general, GLM-Z1 for inference, and GLM-Z1-Rumination for rumination ✨ Will openly share these models on April 14 🤯 Preview version👉 https://autoglm-research.zhipuai.cn/?channel=autoglm_android
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