AI前沿：从分钟级游戏学习到语言模型的记忆之谜

本期《TAI快报》深入探讨了五项AI领域的最新研究成果，带来前沿技术洞见：1. “Test-Time Training Done Right” 通过大块数据处理，将硬件利用率提升至70%，显著增强长序列任务性能；2. “Leave it to the Specialist: Repair Sparse LLMs with Sparse Fine-Tuning via Sparsity Evolution” 提出动态稀疏性微调方法，让剪枝后的语言模型恢复性能并提升效率；3. “How much do language models memorize?” 量化语言模型记忆容量为每参数约3.6比特，揭示记忆与泛化的动态转换；4. “MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs” 通过元认知提示提升模型不确定性表达的忠实度高达61%；5. “AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models” 让AI在几分钟内掌握游戏，展现惊人样本效率。这些突破为AI的效率、隐私和可信度开辟了新路径。完整推介：https://mp.weixin.qq.com/s/aY20Pp9PE0qSptKjoRbc6w

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