人工智能2022 · 分享于 Hacker News

Teaching Algorithmic Reasoning via In-Context Learning

探索《Teaching Algorithmic Reasoning via In-Context Learning》的原文与 Hacker News 社区讨论,查看来源并加入阅读清单。

阅读原文

看看社区如何讨论这个想法。

来自 Hacker News 的原始讨论。不同的视角、疑问,以及值得继续思考的线索。

最多展示 100 条相关讨论。论文可能出现在评论中,并非原帖投稿内容。

在讨论中发现的引用

按 HN 条目顺序展示最近的 50 条引用来源。

Ydavidbarker ·

Governance of Superintelligence

46 赞同39 评论
Ymarshblocker ·

Just Calm Down About GPT-4 Already

18 赞同5 评论
Ygk1 ·

You probably don’t need to fine-tune LLMs

16 赞同0 评论
Ygeorgehill ·

Do large language models need sensory grounding for meaning and understanding?

6 赞同0 评论
Ytim_sw ·

OpenAI: Introducing SuperAlignment

6 赞同0 评论
Yszopa ·

Teaching ChatGPT to Speak My Son’s Invented Language

5 赞同0 评论
Yyeesian ·

The New XOR Problem

4 赞同0 评论
Yhhs ·

LLMs are not greater than the sum of their parts: Stanford researchers

4 赞同0 评论
YArmic ·

It's not just statistics: GPT-4 does reason

3 赞同0 评论
YAnon84 ·

Teaching Algorithmic Reasoning via In-Context Learning

2 赞同0 评论
Yexolymph ·

What ChatGPT Can't Do

2 赞同1 评论
Ytejohnso ·

OK, it’s time to freak out about AI

2 赞同0 评论
Yconsumer451 ·

Study: ChatGPT Outperforms Physicians in Quality, Empathetic Answers to Patients

2 赞同0 评论
Ywskinner ·

AI Safety and the Age of Dislightenment

2 赞同0 评论
Ynyrikki ·

LLMs can't self-correct in reasoning tasks, DeepMind study finds

2 赞同1 评论
Yog_kalu ·

Bing AI can play chess

1 赞同0 评论
Yrain1 ·

And yet It Understands

1 赞同0 评论
Ytlb ·

Emergent abilities of large language models

1 赞同0 评论
Ysaurabh20n ·

Teaching Large Language Models to Self-Debug

1 赞同0 评论
Yvagabund ·

Weak-to-Strong Generalization

1 赞同0 评论

一个想法,引向另一个。

发现更多论文