🚨 医疗 AI 研究警报！

🚨 医疗 AI 研究警报！
CliMedBench is a new benchmark designed to evaluate large language models (LLMs) in real clinical scenarios in China, using over 33,000 medical questions. It focuses on important areas like medical reasoning and knowledge application, highlighting the need for improvements in existing models. This initiative aims to enhance the practical use of AI in healthcare, moving beyond theoretical applications.
x.comOpen Life Science AI2 mins
3:47 pm
🪩@stateofaireport2024 已经到来了！
The @stateofaireport 2024 provides a comprehensive overview of AI research, industry trends, and safety issues. It highlights the growing competition between open-source and proprietary models, as well as significant advancements in robotics and biotech. The report also discusses regulatory challenges and the impact of AI investments on the market.
x.comNathan Benaich5 mins
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⚠️ Cubox 隐私风险警告
Cubox, a popular bookmarking tool, has serious privacy risks as it uploads users' browsing history in plain text, including all URL parameters. This means sensitive information can be exposed, making it much more dangerous than typical data monitoring. Users are advised to stop using the Cubox browser extension to protect their privacy.
x.comHzao1 min
Oct 6th
在 readwise reader 出来之前，用过 cubox 几个月。但是，reader 出来之后，体验差距巨大，很快就全面切换到 reader 上了。
The author used Cubox for a few months but switched to Readwise Reader after it was released, noting a significant improvement in experience. They believe Readwise Reader greatly enhances internet reading and improves quality of life. The author recommends trying Readwise Reader, offering a link for new users to get a free trial.
x.comhowie.serious1min left
Oct 6th
2024 年大语言模型对齐偏好优化技术 PPO,DPO, SimPO,KTO,Step-DPO, MCTS-DPO,SPO
The author discusses recent advancements in alignment techniques for large language models, focusing on methods like DPO and its variants. These methods aim to improve model performance by optimizing preference data without the need for a separate reward model, making training more efficient. The paper also highlights the growing importance of alignment in ensuring model safety and enhancing agent capabilities.
mp.weixin.qq.com是念2 mins
Oct 6th
如果你没被岩浆包围过，你应该……
If you haven’t been living under a rock, you have already noticed that the developer community is currently super excited about DSPy. DSPy is a framework developed by Stanford NLP researchers (@lateinteraction) to help you build LLM-based applications. In contrast to similar frameworks, DSPy aims to tackle the fragility problem of developing LLM-based applications by prioritizing programming over prompting. DSPy does this by introducing the following concepts: - Hand-written prompts and fine-tuning are abstracted and replaced by signatures - Prompting techniques, such as Chain of Thought or ReAct, are abstracted and replaced by modules - Manual prompt engineering is automated with optimizers (teleprompters) and a DSPy Compiler Below, you can see what the code and information flow of a DSPy program for a naive RAG pipeline would look like. Read more on @TDataScience: https://t.co/AnrpyPaPku
twitter.comLeonie1 min
Feb 28th
开始使用 Reader 的方法
Reader is a productivity software that allows users to read, highlight, and annotate without using a mouse. It is built with power users in mind and includes many keyboard shortcuts. Reader supports documents of all kinds, including web articles, RSS feeds, email newsletters, PDFs, EPUBs, Twitter threads, Twitter Lists, and YouTube videos. It also has a browser extension that allows users to save documents and highlight the native web page. The app is updated every day based on feedback from users.
blog.readwise.ioDaniel Doyon7 mins
Feb 28th

🚨 Medical AI Research alert!

Summary

CliMedBench is a new benchmark designed to evaluate large language models (LLMs) in real clinical scenarios in China, using over 33,000 medical questions. It focuses on important areas like medical reasoning and knowledge application, highlighting the need for improvements in existing models. This initiative aims to enhance the practical use of AI in healthcare, moving beyond theoretical applications.

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2 mins (273 words)

Saved

1 minute ago

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English

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