人工智能2022 · 分享于 Hacker News

Large Language Models are Zero-Shot Reasoners: Let's think step by step

探索《Large Language Models are Zero-Shot Reasoners: Let's think step by step》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。

Ymeetpateltech ·

Magistral — the first reasoning model by Mistral AI

941 赞同424 评论
Ynmwnmw ·

Llama 3.2: Revolutionizing edge AI and vision with open, customizable models

924 赞同328 评论
Yeatonphil ·

LaMDA is not sentient

366 赞同662 评论
YAnon84 ·

Large models of what? Mistaking engineering achievements for linguistic agency

184 赞同156 评论
Ysandebert ·

ChatGPT can't kill anything worth preserving

68 赞同77 评论
YGrowtika ·

LLMs are a 400-year-long confidence trick

11 赞同2 评论
Yhellovai ·

What we learned from using GPT for 500k+ classifications

9 赞同1 评论
Yszopa ·

Teaching ChatGPT to Speak My Son’s Invented Language

5 赞同0 评论
YHammadB ·

Large Language Models are Zero-Shot Reasoners: Let's think step by step

4 赞同0 评论
Yseanherron ·

Tech’s hottest new job: AI whisperer. No coding required

3 赞同0 评论
YColinEberhardt ·

Re-implementing LangChain in 100 lines of code

3 赞同0 评论
Yjellyberg ·

Compare how GPT-2, 3, 3.5 and 4 answer the same questions

3 赞同0 评论
YNM_Ricky ·

ChatGPT Cheat Sheet

2 赞同2 评论
Yandyk ·

Show HN: Recursive LLM Prompts

2 赞同2 评论
Yog_kalu ·

Think Before You Speak: Training Language Models with Pause Tokens

2 赞同0 评论
Yarchon1410 ·

Large Language Models Are Zero-Shot Reasoners

1 赞同0 评论
Yatleastoptimal ·

GPT-4 performs significantly worse on coding problems not in its training data

1 赞同0 评论

一个想法,引向另一个。

发现更多论文