人工智能2023 · 分享于 Hacker News
Memory Augmented Large Language Models Are Computationally Universal
探索《Memory Augmented Large Language Models Are Computationally Universal》的原文与 Hacker News 社区讨论,查看来源并加入阅读清单。
从论文,走向讨论
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。
Ychilipepperhott ·
Markov chains are the original language models
454 赞同174 评论
Ychilipepperhott ·
Markov Chains are the Original Language Models
251 赞同170 评论
Ycraigmart ·
Claude Opus 4.8
131 赞同49 评论
Ysamwillis ·
Anthropic - Introducing 100K Token Context Windows, Around 75,000 Words
69 赞同24 评论
Yimartin2k ·
Our Society Is Not Prepared for This Much AI Awesome
18 赞同8 评论
Yflurly ·
Show HN: Whatdoesthiscodedo.com – AI explanations for other people’s code
5 赞同4 评论
Yszopa ·
Teaching ChatGPT to Speak My Son’s Invented Language
5 赞同0 评论
Ykilobit ·
Will a prompt that enables GPT-4 to solve easy Sudoku puzzles be found?
5 赞同2 评论
YClemDev2000 ·
Large Language Models: Scaling Laws and Emergent Properties
2 赞同1 评论
Ygone35 ·
Memory Augmented Large Language Models Are Computationally Universal
2 赞同0 评论
Yphilippta ·
Ask HN: Why are current LLMs not considered AGI?
2 赞同2 评论
Ymacawfish ·
Memory Augmented Large Language Models Are Computationally Universal
1 赞同0 评论
Ymacawfish ·
Memory Augmented Large Language Models Are Computationally Universal
1 赞同0 评论
Ynsoonhui ·
The Unpredictable Abilities Emerging from Large AI Models
1 赞同0 评论
Ymacawfish ·
Memory Augmented LLMs Are Computationally Universal
1 赞同0 评论