人工智能2023 · 分享于 Hacker News
LORA: Low-Rank Adaptation of Large Language Models
探索《LORA: Low-Rank Adaptation of Large Language Models》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。
Yarchon1410 ·
Self-Adapting Language Models
246 赞同73 评论
Ytimbilt ·
LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
236 赞同53 评论
Yxrayarx ·
A look at Apple's technical approach to AI including core model performance etc.
196 赞同106 评论
Yj-wang ·
Fine-tuning LLMs is a waste of time
193 赞同88 评论
Ygaleos ·
Lamini Memory Tuning: 10x Fewer Hallucinations
128 赞同57 评论
Yholomorphiclabs ·
Ask HN: Most efficient way to fine-tune an LLM in 2024?
114 赞同48 评论
Yteleforce ·
DECT NR+: A technical dive into non-cellular 5G
86 赞同30 评论
Ysamwillis ·
Anthropic - Introducing 100K Token Context Windows, Around 75,000 Words
69 赞同24 评论
Ydavidbarker ·
GPT-3.5 Turbo fine-tuning and API updates
53 赞同25 评论
Ywienke ·
New LoRa RF distance record: 1336 km / 830 mi
31 赞同24 评论
Yfroster ·
Ask HN: Which recently research paper blow your mind?
20 赞同0 评论
Ygeorgehill ·
OpenAI employee: GPT-4.5 rumor was a hallucination
12 赞同1 评论
Ysharonzhou ·
Launch Lamini: The LLM Engine for Rapidly Customizing Models as Good as ChatGPT
8 赞同4 评论
Ysyntaxing ·
Alpaca-LoRA with Docker
3 赞同0 评论
Yantimatter15 ·
Show HN: Alpaca.cpp – Run an Instruction-Tuned Chat-Style LLM on a MacBook
2 赞同0 评论
Ybfirsh ·
How to use Alpaca-LoRA to fine-tune a model like ChatGPT
2 赞同0 评论
Yeternalban ·
LoRA: Low-Rank Adaptation of Large Language Models
2 赞同1 评论
Yudev4096 ·
Run LLMs at home, BitTorrent‑style
2 赞同1 评论
Ydavidgerard ·
Andreessen Horowitz Invests in Civitai, Which Profits from Nonconsensual AI Porn
2 赞同1 评论
Ytosh ·
Claude: System Prompts
2 赞同0 评论
YLukeEF ·
LORA: Low-Rank Adaptation of Large Language Models
1 赞同1 评论