Wilson

[North@CreaoAI @anorth_chen]

https://t.co/tuhPesfxGp

[向阳乔木 @vista8]

https://t.co/8ZcrDjb4ua

[Dongxi 东锡 NLP @dongxi_nlp]

如何在海量 AI 论文中找到热点、机会与趋势？

先说我的答案，Papers + Graph + Time

现在 AI 论文的产生速度极快，仅看 Hugging Face 榜单，每月上百篇，一年上千篇，问题来了，如何在海量论文中找到价值与机会？

其实论文之间天然联系，他们的相近方法会迁移到不同问题，同类问题也会推动方法持续迭代并刷新 SOTA。

领域与方法因此形成若干 node，nodes 之间通过共享的关键论文与方法脉络相互连接，��立edge，即形成了 graph。

如果把这种 graph 与 time 叠加，就能看清热点与方法的流动，抓住当下，并推演未来趋势。

因为最近格外关注中国开源模型厂商，我把
Paper + Graph + Time
这种思路，给到 MiniMax Agent, 让它把我脑海中的这个比较复杂的工具 vibe 出来。

如视频所示，结果非常惊艳，这个工具成功带领我迅速了解了本月上百篇论文，我从中可以沿着自己喜欢的轨迹找到喜欢的话题和方向。

Kudos to @MiniMax_AI !

MiniMax Agent Desktop 非常出色，可以直接连接我本地的论文库，与cc比较，以很低的成本，做完了这个复杂度非常高的任务，点赞���

值得注意的是 MiniMax Agent 的 expert 模式超强，而且非常好看，这对应了他们设计的专门的 benchmark VIBE Bench！

衡量的不仅仅完成度，还有 vibe，还有外观！

[Santiago @svpino]

Open-source AI is taking over the world.

Here is a free, open-source book that will help you keep pace with everything that's happening:

State of Open Source AI Book - 2023 Edition

This is a living book. Anyone can contribute to it.

Here is what you can find inside:

1/2

[Darrin Schultz @conchoecia]

Are you sequencing genomes? Do you want to compare the chromosomes of two or more species?🧬

I recently released the ODP software package to make scalable comparative genomics easier. Example plots below.📊 1/🧵

paper: https://t.co/bSf0hwJHwU

github: https://t.co/9lBcNcmhj4

[Iván Martínez @ivanmartit]

privateGPT passed today 30K⭐️A simple yet powerful concept was enough to spark a ton of innovation from the community; the best is yet to come. Much ❤️ to the projects pushing the ecosystem fwd @nomic_ai @langchain @trychroma @quivr_brain @llama_index... https://t.co/Pq2LbBnPYJ

[Fritz Sedlazeck @sedlazeck]

Really excited that @naturemethods highlights our method Read2Tree. Nice writeup on why @DessimozLab (@ddylus @SinaMajidian) & we (@BCM_HGSC) are so excited about it!

@ddylus @SinaMajidian @AdrianAltenhoff #Bioinformatics
Git: https://t.co/w2Hxr7YS3n
https://t.co/STTzI4tdhU

[Chris Cunningham @ChrisClickUp]

@hasantoxr Gonna train up over the weekend!

[Afiz ⚡️ @itsafiz]

If you are looking Data Science Handbook, check out this.
Topics covered:
- Intro to ipython notebooks
- Numpy, Pandas
- Matplotlib
- Machine Learning concepts
And it is
- 100% FREE

Book link 🧵👇

[Dr. Silas Kieser @SilasKieser]

Cool 300 stars for #metagenomeAtlas https://t.co/yv1pRvK1DO

[Jackson Greathouse Fall @jacksonfall]

I gave GPT-4 a budget of $100 and told it to make as much money as possible.

I'm acting as its human liaison, buying anything it says to.

Do you think it'll be able to make smart investments and build an online business?

Follow along 👀

[Antonio Camargo @apcamargo_]

Do you need to identify viruses or plasmids in sequencing data? geNomad can help you with that 😃

🚨 Preprint alert!

[Stephen Turner 🦋 @stephenturner.us @strnr]

autoGO #Rstats pkg: automated Gene Ontology enrichment analysis, wrapper around DESeq2 for RNA-seq analysis https://t.co/ibxrQ8mKge

[elvis @omarsar0]

Prompt Engineering Guide (10K⭐️)

We are creating a comprehensive guide on prompt engineering.

Includes lectures, notebooks, guides, and the latest papers for AI researchers and developers. Check it out!

https://t.co/24k6YQrMcz

[Charly Wargnier ♨️ @DataChaz]

Turn your knowledge base into a powerful #AI-powered chatbot with Fini! 🪄✨

Provide a link to your knowledge base and let Fini provide you with a tireless AI agent ready to answer customer questions instantly, 24/7!

🔗 https://t.co/I0F9dHqPEj

#ChatGPT #GPT3 #LLM

[Charly Wargnier ♨️ @DataChaz]

#ChatGPT is incredible.

But give these free #AI tools a go!

1/ ChatGPT + Web
https://t.co/AgW3pMfCaQ

2/ Spelling, grammar & paraphraser
https://t.co/4aCFaadEKy

3/ AI writing assistant
https://t.co/tpAgm3LOHS

4/ AI-powered content generation platform
https://t.co/OAZ8kMEtfC

[iMeta @iMetaScience]

EasyAmplicon: An easy‐to‐use, open‐source, reproducible, and community‐based pipeline for amplicon data analysis in microbiome research, created by @YongXinLiu7 @TaoWen82417266 @liangchen6542 @hlcao @alvinpf1 @JiqiuWu @RYG_SG @JuZhicheng
#bioinformatics
https://t.co/1k58w6qX64

[Dan Kornas @DanKornas]

👉 From Zero to AI Research Scientist Full Resources Guide

This guide is designated to anybody with basic programming knowledge or a computer science background interested in becoming a Research Scientist with a target on Deep Learning and NLP.

🔗 https://t.co/cseX6xDILe

[Aakash Kumar Nain @A_K_Nain]

@rasbt @SimonPrinceAI Shameless plug
https://t.co/VS7m8bu1Kx

[Marinka Zitnik @marinkazitnik]

Excited to teach a course on #biomedical #AI this semester @Harvard @harvardmed

Follow our course materials, reading lists and paper highlights which we will release throughout the semester

https://t.co/nJHc14nGFb

Thankful for star TA team @YEktefaie @richardjchen Y Huang