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Seventy3

任雨山

ZH-CN702 episodes
technologyeducationscience

73播客，名字取材于Sheldon最喜欢的数字，内容由NotebookLM生成，每天跟随AI读AI业界论文。

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Notable Guests

JJian Li16×JJianbo Chen15×ZZhang Wei14×DDr. Rachel Kim9×XXiaoyu Wang8×Yoshua BengioYoshua Bengio6×DDr. Xiaoyu Wang6×EEmily Chen6×Andrew NgAndrew Ng6×LLedger Journal6×

Episodes (702)

【第61期】大模型的「推理」是在做什么？

Seventy3

Nov 30, 202414:36pending

【第60期】RLTools：基于C++的开源强化学习工具

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Nov 29, 202419:38pending

【第59期】SymDPO：多模态In-context learning提升技巧

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Nov 28, 202411:32pending

【第58期】AM-RADIO，融合多种视觉大模型

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Nov 27, 202417:30pending

【第57期】降低数值精度影响LLM数学推理能力

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Nov 26, 202412:29pending

【第56期】o1的self-correction是一种In context Alignment

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Nov 25, 202413:41pending

【第55期】RLInspect

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Nov 24, 202423:03pending

【第54期】Impacts of AI on Innovation

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Nov 23, 202412:08pending

【第53期】Toward Optimal Search and Retrieval for RAG

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Nov 22, 202411:38pending

【第52期】DINO-WM：LeCun 的世界模型

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Nov 21, 202415:02pending

【第51期】研究表明4bit量化能使反学习失效

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Nov 20, 202413:45pending

【第50期】精度的Scaling Laws

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Nov 19, 202411:33pending

【第49期】Responsibility in Multi-Agent Systems

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Nov 18, 202422:46pending

【第48期】测试时训练TTT（test-time training）

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Nov 17, 202424:24pending

【第47期】LoRA vs Full Fine-tuning

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Nov 16, 202415:47pending

【第46期】大模型的数据会用完吗？

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Nov 15, 202416:25pending

【第45期】SeqComm：多智能体通讯机制

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Nov 14, 202416:39pending

【第44期】MIPRA解读

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Nov 13, 202423:59pending

【第43期】Reward Centering

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Nov 12, 202421:04pending

【第42期】SELA：使用MCTS增强LLM

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Nov 11, 202413:49pending

【第41期】Multimodal RAG

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Nov 10, 202412:00pending

【第40期】LLM使用bag of heuristics求解数学问题

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Nov 9, 202414:27pending

【第39期】AFlow自动生成工作流

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Nov 8, 202414:42pending

【第38期】OpenAI的论文：SimpleQA

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Nov 7, 202412:04pending

【第37期】认知的几何特征

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Nov 6, 20248:46pending

【第36期】HIL-SERL

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Nov 5, 202411:08pending

【第35期】DriveDreamer4D

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Nov 4, 202415:45pending

【第34期】Heterogeneous Pre-trained Transformers

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Nov 3, 202416:29pending

【第33期】多项式激活函数

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Nov 2, 202412:09pending

【第32期】TapeAgents：AI Agent+log

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Nov 1, 202415:33pending

【第31期】给prompt加一个角色有用吗？

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Oct 31, 202418:29pending

【第30期】Diffusion Evolution Algorithm

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Oct 30, 202410:13pending

【第29期】Contextual Document Embeddings

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Oct 29, 202411:18pending

【第28期】AEVB解读

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Oct 28, 20248:39pending

【第27期】BERT解读

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Oct 27, 20249:32pending

【第26期】ELMo解读

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Oct 26, 20247:30pending

【第25期】CoVe解读

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Oct 25, 20249:25pending

【第24期】BPE解读

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Oct 24, 20249:08pending

【第23期】Diffusion World Model解读

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Oct 23, 202418:35pending

【第22期】Diffusion-Q Learning解读

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Oct 22, 202416:28pending

【第21期】DPPO解读

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Oct 21, 202417:22pending

【第20期】Diffusion Policy解读

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Oct 20, 202410:08pending

【第19期】Augmented Physics

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Oct 19, 202410:42pending

【第18期】Geometry-Informed Neural Networks

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Oct 18, 202413:17pending

【第17期】REPA解读

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Oct 17, 20247:41pending

【第16期】GSM-Symbolic苹果研究人员表示AI模型可能不具有推理能力

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Oct 16, 202410:57pending

【第15期】Truthfulness Encodings

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Oct 15, 202411:30pending

【第14期】Intelligence at the Edge of Chaos

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Oct 14, 202411:44pending

【第13期】n-gram解读

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Oct 13, 20246:50pending

【第12期】GloVe解读

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Oct 12, 20248:33pending
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