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【第55期】RLInspect
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm
Summary
This techn…
1 year, 5 months ago
【第54期】Impacts of AI on Innovation
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
Artificial Intelligence, Scientific Discovery, and Product Innovation
Summary
This document is a resear…
1 year, 5 months ago
【第53期】Toward Optimal Search and Retrieval for RAG
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
Toward Optimal Search and Retrieval for RAG
Summary
This document is a research paper that investigates…
1 year, 5 months ago
【第52期】DINO-WM:LeCun 的世界模型
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Summary
This academic re…
1 year, 5 months ago
【第51期】研究表明4bit量化能使反学习失效
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge
Summary
T…
1 year, 5 months ago
【第50期】精度的Scaling Laws
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
Scaling Laws for Precision
Summary
This research paper investigates the impact of precision in training…
1 year, 5 months ago
【第49期】Responsibility in Multi-Agent Systems
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
Measuring Responsibility in Multi-Agent Systems
Summary
This research paper introduces a novel framewor…
1 year, 5 months ago
【第48期】测试时训练TTT(test-time training)
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
The Surprising Effectiveness of Test-Time Training for Abstract Reasoning
Summary
This research paper i…
1 year, 5 months ago
【第47期】LoRA vs Full Fine-tuning
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
LoRA vs Full Fine-tuning: An Illusion of Equivalence
Summary
This research paper investigates the diffe…
1 year, 5 months ago
【第46期】大模型的数据会用完吗?
Seventy3: 用NotebookLM将论文生成播客,让大家跟着AI一起进步。
今天的主题是:
Will we run out of data? Limits of LLM scaling based on human-generated data
Summary
This research pape…
1 year, 5 months ago