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【第55期】RLInspect
【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

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【第54期】Impacts of AI on Innovation
【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

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

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【第52期】DINO-WM:LeCun 的世界模型
【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

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【第51期】研究表明4bit量化能使反学习失效
【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

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【第50期】精度的Scaling Laws
【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

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【第49期】Responsibility in Multi-Agent Systems
【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

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【第48期】测试时训练TTT(test-time training)
【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

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【第47期】LoRA vs Full Fine-tuning
【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

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【第46期】大模型的数据会用完吗?
【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

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