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1739397529152983413 | Just in time for the holidays!
A 4Bit open source Mixtral for you to run a GPT-3 grade LLM on your inexpensive laptop private and personal AI.
Get Mixtral-8x7B-Instruct-v0.1-bnb-4bit: https://t.co/GhHggIi35H | https://twitter.com/i/web/status/1739397529152983413 | [
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] |
1739690535630348574 | 🌲RAG With PDFs
Want to easily set up a RAG pipeline over PDFs?
This great tutorial by our friends at @clarifai goes over how to do exactly that
Blog: https://t.co/pJLUiMR2Jv https://t.co/ak02bTKev9 | https://twitter.com/i/web/status/1739690535630348574 | [
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1738917948692033872 | Unboxing Ragna: Getting hands-on and making it to work with Amazon Bedrock
Great article!
https://t.co/Dagzb0GVzf https://t.co/glm0KwXblr | https://twitter.com/i/web/status/1738917948692033872 | [
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] |
1738651924193234973 | 5 frameworks from top consulting companies that help in Product and Business:
1/ Ansoff Matrix https://t.co/Yu3qZ6wJKm | https://twitter.com/i/web/status/1738651924193234973 | [
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1738582999716020603 | Build Hybrid Search from Scratch 🔎
A best practice for RAG is to do hybrid search instead of top-k. Lots of vector db support this. But how exactly does it work?
In our comprehensive tutorial @LoganMarkewich shows you how to implement your own hybrid search from scratch 🧑🍳
1️⃣… https://t.co/KzfKVm3qKW | https://twitter.com/i/web/status/1738582999716020603 | [
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1738709627829883346 | 🆕 NeurIPS 2023 Recap — Best Papers!
https://t.co/h7dsZ07Wbb
Our selection for AI Engineers this year includes:
- Word2Vec (@JeffDean)
- DPO (@rm_rafailov)
- Datablations (@Muennighoff)
- QLora (@Tim_Dettmers)
- DataComp (@sy_gadre)
- LLaVA (@imhaotian)
- Tree of Thoughts… | https://twitter.com/i/web/status/1738709627829883346 | [
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1738519886379254072 | the 2nd edition of the book Visualization of Time-Oriented Data is published, and the The TimeViz Browser has gotten an update too: https://t.co/KANsPVoSHA #dataviz #time https://t.co/J1JBaSsUlN | https://twitter.com/i/web/status/1738519886379254072 | [
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1738669091622211603 | The code, to those that are interested. https://t.co/Qt7OyTvmE9 | https://twitter.com/i/web/status/1738669091622211603 | [
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1738461444000161932 | Ready for your tech talk served with a side of casual? ☕ The new DataTopics Unplugged podcast blends data discussion with easy-going chat. Perfect for your morning routine! Listen now 👉 [Read More](https://t.co/n7A1kxWc2K) #DataTopics #TechPodcast https://t.co/UJOmYw17tg | https://twitter.com/i/web/status/1738461444000161932 | [
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1738308861432631436 | As of today, @huggingface datasets has webdataset reading support, neat! I happened to have started uploading a few datasets...
A notebook with a cc12m streaming example: https://t.co/MGuXltStFX | https://twitter.com/i/web/status/1738308861432631436 | [
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1738261921768616025 | 🌠 Azure Cosmos DB Vectorstore 🌠
You can use @Azure Cosmos DB as a vectorstore in @LangChainAI 🦜🔗 JS/TS community 0.0.10!
It’s fully managed and MongoDB-compatible, letting you work with a familiar interface and dev experience.
Thanks @sinedied!
https://t.co/3ElOpEsJn0 https://t.co/iJWQLiguvH | https://twitter.com/i/web/status/1738261921768616025 | [
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1738212545532445110 | This slide on Generative AI from JPMorgan is unlike anything I've every seen from a major bank. Wow! https://t.co/SO2Pm29tEA | https://twitter.com/i/web/status/1738212545532445110 | [
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] |
1737962518004240660 | Disagree and commit is a really important principle that saves a lot of arguing.
—Jeff Bezos masterclass on conflict resolution
https://t.co/xwb3xjpJmq | https://twitter.com/i/web/status/1737962518004240660 | [
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] |
1738142228160172472 | Now that’s really interesting, I have been saying for years that conformal prediction is one of the best methods for anomaly detection.
Conformal Anomaly Detection has been powering Microsoft Azure for almost a decade and also won one of the top places in high profile anomaly… https://t.co/WTucM1Lx01 | https://twitter.com/i/web/status/1738142228160172472 | [
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1738110379673149549 | MidJourney V6 is out! Cool to see the change from descriptor driven prompting to a much more natural language approach. Textgen also improved significantly, still not great though. For now I'm back in camp MJ 🚀 #genai #imagegen https://t.co/1Eiedl11tl | https://twitter.com/i/web/status/1738110379673149549 | [
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1737967598032326786 | what i wish someone had told me:
https://t.co/1nEaYimzXG | https://twitter.com/i/web/status/1737967598032326786 | [
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1605458043461738497 | Adam Zdanowicz riding his Christmas tree-shaped tallbike, which, at 7.41 meters (24 ft 3.73 in), is in the Guinness Book of Records as the world's tallest bicycle.
Białystok, Poland, December 21, 2020
#otd https://t.co/kFdphPWbL1 | https://twitter.com/i/web/status/1605458043461738497 | [
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1738001949084233898 | Announcing texify - an OCR model that turns inline and block equations into markdown/LaTeX. It's more accurate at this than nougat and pix2tex.
Find it here - https://t.co/AjI9ZzzmCc . https://t.co/KjeDenWPmw | https://twitter.com/i/web/status/1738001949084233898 | [
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1737912827518812314 | Jeff Bezos on Managing Stress
"Stress primarily comes from not taking action over something that you can have some control over.
So if I find that some particular thing is causing me to have stress, that’s a warning flag for me; what it means is, there’s something that I… https://t.co/IVEJ8lOQCh | https://twitter.com/i/web/status/1737912827518812314 | [
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] |
1737947281121521770 | There's a bunch of super cool PyData talks out there, but here's one that many may not have seen yet.
Honestly, cool stuff right here.
https://t.co/EyYCpHAFQ2 | https://twitter.com/i/web/status/1737947281121521770 | [
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1737654376330592559 | Mastering Customer Segmentation with LLM https://t.co/3WmwlRnwMd
#AI #MachineLearning #DeepLearning #LLMs #DataScience https://t.co/D8FHYHa1WC | https://twitter.com/i/web/status/1737654376330592559 | [
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] |
1737533693906870668 | Hugging Face 🫶 @GoogleColab
With the latest release of huggingface_hub, you don't need to manually log in anymore. Create a secret once and share it with every notebook you run. 🤗
pip install --upgrade huggingface_hub
Check it out!👇 https://t.co/efIBdZwSZq | https://twitter.com/i/web/status/1737533693906870668 | [
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1737674753580630324 | Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation
From the theory of the original academic paper to its Python implementation with OpenAI, Weaviate, and LangChain by @helloiamleonie. https://t.co/k6LhxJ14FF | https://twitter.com/i/web/status/1737674753580630324 | [
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] |
1737562911311118779 | If your team always asks "why?", they don't get your strategy.
So what can you do?
(Hint: it's not showing them the roadmap.)
🧵👇 https://t.co/57uCfrbMd9 | https://twitter.com/i/web/status/1737562911311118779 | [
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1737515101773795350 | 12/ 🤓 Final Note on the Charts
Error bars computed as standard error, which is why the smaller datasets have wider error bars. Learn more at the blog post!
Learn more at the blog post! 📖 https://t.co/Bq2qYRG9JP
Special thanks to @veryboldbagel and @WHinthorn for putting… | https://twitter.com/i/web/status/1737515101773795350 | [
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] |
1737605103090106668 | @llama_index Here's a nice animation by the authors demonstrating how FLARE blends generation and retrieval by dynamically incorporating relevant and up-to-date information.
Source:
https://t.co/s2mYZOrE2n
https://t.co/1VRChHaOq9
LlamaIndex FLAREInstructQueryEngine: https://t.co/ros5uli8gw https://t.co/5dOkxpBRnz | https://twitter.com/i/web/status/1737605103090106668 | [
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1737634364882825462 | Gemini can generate holiday gift suggestions for the hardest of people to shop for. Use the Gemini API in Colab to generate gift ideas here: https://t.co/HSYWjiYZAh https://t.co/cprEcrs3p3 | https://twitter.com/i/web/status/1737634364882825462 | [
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1737442754936844701 | 💬 Did you know you can finetune an LLM, Mistral 7B in particular, on a chat-style instruction dataset? This Argilla tutorial has a step-by-step guide! https://t.co/sm6SlUaAke
Argilla: https://t.co/cb8FwqWDdv
distilabel: https://t.co/rqeEzV4tfu
#nlproc #llms #python #opensource https://t.co/SOQ8Q54E9i | https://twitter.com/i/web/status/1737442754936844701 | [
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1737537992703844521 | Just found out about the Chatbot Arena, it's brilliant.
It allows you to compare and rank the output of 25+ LLMs right from your browser.
It then crowdsources the scores to build a ranking of the top closed/open models.
Here are some interesting takeaways:
- OpenAI remains… https://t.co/LAn6gB6KDJ | https://twitter.com/i/web/status/1737537992703844521 | [
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1737542486070039017 | People talk about first-principles thinking, but most people don't really know what it is or how to apply it.
In this week's essay, I do my best to explain it, give you a practical set of steps for applying it in your work, and share a ton of examples of product leaders using… https://t.co/gM9xSkflKw | https://twitter.com/i/web/status/1737542486070039017 | [
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] |
1737515390664872040 | Structured Hierarchical RAG 💫
Doing RAG well over many docs is hard. A popular existing approach is hierarchical retrieval: select the relevant doc summaries before retrieving the content inside.
But selecting docs purely based on summaries is tough - a doc can have a bunch of… https://t.co/t3ZWM4nZZB | https://twitter.com/i/web/status/1737515390664872040 | [
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1737516362451554696 | New RAG technique alert 🚨
We’ve come up with an advanced RAG technique in @llama_index that lets you ask structured questions over many documents ✨:
1. Model each document as a metadata dictionary - store more attributes beyond a simple text summary. (e.g. a row in SQL… https://t.co/z173g2Xj3w https://t.co/F72ZdY1nVa | https://twitter.com/i/web/status/1737516362451554696 | [
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1735621403288764844 | @helloiamleonie @kaggle If you are in Europe, you can't :( | https://twitter.com/i/web/status/1735621403288764844 | [
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1737431435022094476 | 🌟 Exciting Announcement! 🌟
We at dataroots are thrilled to share some fantastic news: We are partnering with Soda, a leading data quality platform!
Read more about our partnership here https://t.co/drMHr30cpy
#Partnership #DataQuality https://t.co/V1EZiIhG2r | https://twitter.com/i/web/status/1737431435022094476 | [
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1737156932832801280 | Retrieval Augmented Generation (RAG) for Production with LangChain & LlamaIndex Course
Introducing our new comprehensive course on Retrieval Augmented Generation (RAG), brought to you by @activeloopai, @towards_AI, and the Intel Disruptor Initiative!
https://t.co/K38ZCPB8HI https://t.co/130xZC0QeB | https://twitter.com/i/web/status/1737156932832801280 | [
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1737144543827440022 | UniDep
Single source of truth with requirements for pip and conda.
https://t.co/QKkoLq1Pmi | https://twitter.com/i/web/status/1737144543827440022 | [
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1737133377549939101 | Catch the newest #DataTopics podcast 🎙️ spotlighting voice cloning, data solutions & more from RootsConf! Get the full scoop 📊 in our accompanying blog post 👉 https://t.co/aE5DuSAoW4 #techconference #data #ai https://t.co/NxFBxdkz8e | https://twitter.com/i/web/status/1737133377549939101 | [
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] |
1736793679707181523 | Zen of #Python 11: "Unless explicitly silenced"
Errors should not pass silently, yes!
But ... sometimes you do want to explicitly silence a specific error.
The contextlib module has a context manager you can use for this, called `suppress`.
Say you have some cleanup /… https://t.co/DXbAD1bBH8 https://t.co/bGE4cWoVGl | https://twitter.com/i/web/status/1736793679707181523 | [
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] |
1737071545845944815 | "RAG is to LLMs what an open-book exam is to students."
What is RAG? What's the difference between fine-tuning vs using RAG?
How can one implement a RAG pipeline (with code examples)?
The article "RAG: From Theory to LangChain Implementation" by @helloiamleonie is VERY nicely… https://t.co/ggMWWLa6H7 | https://twitter.com/i/web/status/1737071545845944815 | [
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] |
1737097472344793165 | 🤩 The latest episode of #DataTopics is now available! 🎉
🎙️ This time, the episode is extra special as it was recorded live from the 5th edition of RootsConf, dataroots' yearly knowledge sharing conference. 🌱
👉 Check out part 1 of the recording now at https://t.co/2bMSkC0aHE. https://t.co/fEpoNS9SG5 | https://twitter.com/i/web/status/1737097472344793165 | [
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1737064486207476022 | 🎉 #RootsConf 2023 marked 5 years of shared knowledge and growth at Dataroots! Dive into our blog for more on this milestone event and the power of collaboration. ➡️ https://t.co/Gi1ckq7Ty8 #DataCommunity #Collaboration https://t.co/S4fajs39AN | https://twitter.com/i/web/status/1737064486207476022 | [
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1736904614015037651 | Following up on the Gemini API launch, here's a notebook to help you compare Gemini and ChatGPT API responses with a diff view! https://t.co/H9ELGUQgZ5 https://t.co/jVH6AajfXk | https://twitter.com/i/web/status/1736904614015037651 | [
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] |
1736795207553683599 | 🦜💬FastUI-Chat
Want to get an easy frontend for your LangChain app? All written in Python?
@Shroominic made an awesome example hooking up LangChain to FastUI (a new framework from the @pydantic team)
Check it out here: https://t.co/xNESgpEDui | https://twitter.com/i/web/status/1736795207553683599 | [
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1685423949444960256 | "Why do we want to improve our fat-burning?"
Fat vs Carbohydrate is a question of...
Endurance vs Power.
Even the leanest individual has enough fat stored as 'on-board' energy to run 10 marathons back to back!
Lots of endurance, lots of capacity.
However...
Your average… | https://twitter.com/i/web/status/1685423949444960256 | [
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1736735061817414067 | 🎉 What a Friday! Our 5th #RootsConf by #Dataroots was a blast! 🌟 An entire day packed with high-quality talks and workshops. Amazing to see how much this event has grown. Huge thanks to everyone who brought their passion and expertise to the stage! 🚀
https://t.co/AMzYGvFmZo | https://twitter.com/i/web/status/1736735061817414067 | [
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1736297319052574900 | Zeer geschikt voor na de uitvaart. https://t.co/FHqJZg0Bv6 | https://twitter.com/i/web/status/1736297319052574900 | [
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] |
1736730026731618755 | Great question from Clara...
Why is lactate an ideal way of measuring my aerobic/anaerobic balance?
And how does lactate help me "periodize" my year?
You can get a good sense of an athletes relative aerobic and anaerobic strength by racing them over a whole lot of different… https://t.co/mlZaw4mHnX | https://twitter.com/i/web/status/1736730026731618755 | [
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1736702100040462344 | 📢 New blog alert! Check out the week 50 #technoshare summary by GUPPI, featuring the latest in #Tech: Terraform, Apache Hudi, AI discoveries in program search, Python election results & the new SSM architecture Mamba. Read more 🔗 https://t.co/ELZ8enCSDF https://t.co/9z4NXyJ7Wz | https://twitter.com/i/web/status/1736702100040462344 | [
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1736531243120893961 | Here's to the crazy ones, the nerds, the AI tinkers
I have connected mistral 7B to M2 Chip in a native MacOS Swift app to the llama.cpp https://t.co/30f6Kl6wRF | https://twitter.com/i/web/status/1736531243120893961 | [
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] |
1736371310614270131 | 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗕𝗲𝘁𝘄𝗲𝗲𝗻 𝗜𝗻𝗻𝗲𝗿, 𝗟𝗲𝗳𝘁, 𝗥𝗶𝗴𝗵𝘁, 𝗮𝗻𝗱 𝗙𝘂𝗹𝗹 𝗷𝗼𝗶𝗻?
🔹 (𝗜𝗡𝗡𝗘𝗥) 𝗝𝗢𝗜𝗡: return all rows with matching values in both tables.
🔹 𝗟𝗘𝗙𝗧 (𝗢𝗨𝗧𝗘𝗥) 𝗝𝗢𝗜𝗡: return all rows from the left table and those… https://t.co/hfaKOmrTVL | https://twitter.com/i/web/status/1736371310614270131 | [
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] |
1736431212510523847 | Evaluating RAG pipelines is a highly dynamic topic.
It's fascinating to see practitioners develop different ideas for evaluating them.
This @DeepLearningAI course covers the RAG triad of answer relevance, context relevance, and groundedness.
https://t.co/Apl1WtamdS | https://twitter.com/i/web/status/1736431212510523847 | [
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] |
1736472963325600157 | Introducing @MistralAI as your copilot in VSCode! 🚀
Effortlessly integrate Mistral AI with CodeGPT to enhance your coding experience.
Try out the models:
- mistral-tiny
- mistral-small
- mistral-medium
Check the documentation here: https://t.co/NRGJuH0LTZ
Created with… https://t.co/JinGeqkmBk | https://twitter.com/i/web/status/1736472963325600157 | [
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1736462136711274688 | FastUI's SSE component twinned with @OpenAI streamed response is 👌🫦.
@pydantic models from LLM to React via @FastAPI.
https://t.co/PCII40S9Ag https://t.co/TDRBjirUNq | https://twitter.com/i/web/status/1736462136711274688 | [
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1735605654461518157 | You can now play around with Google's Gemini Pro and Gemini Pro Vision for free through @kaggle models with an API key.
🔗 Kaggle Models: https://t.co/HNeCpIVXPm
🔗 Starter Notebook: https://t.co/QyjTm4GCIl https://t.co/GVRx6f5Htz | https://twitter.com/i/web/status/1735605654461518157 | [
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1735653917608861916 | You can now run fully-fledged AutoTrain UI in Google Colab!!! Now, there's no reason not to train amazing models 🤗 Run AutoTrain in Colab: https://t.co/Hgc71ZaGgC
Powered by ngrok 💥 https://t.co/hh8SOKcSAR | https://twitter.com/i/web/status/1735653917608861916 | [
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1735616417456664787 | Live from #rootsconf 🎉
@datarootsio https://t.co/qmXSCfBRZF | https://twitter.com/i/web/status/1735616417456664787 | [
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1857064787261182121 | PiML: Python Interpretable Machine Learning Toolbox
https://t.co/8sY2XcyXvl | https://twitter.com/i/web/status/1857064787261182121 | [
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1857052015265804325 | In case you missed it ...
#175 - Charlie Marsh on Ruff, uv and designing fast + ergonomic #Python (#Rust) tooling https://t.co/httgNLHPr4 | https://twitter.com/i/web/status/1857052015265804325 | [
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1856382568708686156 | Get your copy of https://t.co/eEQnISSaT5 and stay tuned for something spectacular Andrew, @MaartenGr and I are cooking! https://t.co/fv39jymENF | https://twitter.com/i/web/status/1856382568708686156 | [
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1856887406223659179 | OpenAI agents are coming in January https://t.co/mQ2SfUA7fx | https://twitter.com/i/web/status/1856887406223659179 | [
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1856839655028920397 | Slides on "Using LLMs with Python" @ https://t.co/CPClJ6cxYX
Thanks for coming! https://t.co/aqQwfxFmuO | https://twitter.com/i/web/status/1856839655028920397 | [
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1856778062479970550 | "Document to Markdown OCR library with Llama 3.2 vision" https://t.co/EX4DTslmC9 | https://twitter.com/i/web/status/1856778062479970550 | [
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1856349776012324869 | Intuition: https://t.co/6MY5UhnzMW | https://twitter.com/i/web/status/1856349776012324869 | [
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1856349703245266952 | Retrieval: https://t.co/LVj4766uOI | https://twitter.com/i/web/status/1856349703245266952 | [
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1856751121101934723 | Releasing two trillion tokens in the open. https://t.co/McATBqlteo https://t.co/PKqwQllNeZ | https://twitter.com/i/web/status/1856751121101934723 | [
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1856768968973062620 | Pretty excited about this new RAG technique I cooked up 🧑🍳
A top issue with RAG chunking is it splits the document into fragmented pieces, causing top-k retrieval to return partial context. Also most documents have multiple hierarchies of sections: top-level sections,… https://t.co/z6a9mxdbcU https://t.co/JFAp3wUe1C | https://twitter.com/i/web/status/1856768968973062620 | [
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1856385810527830127 | How learning actually happens: https://t.co/wo7CdM3YQI | https://twitter.com/i/web/status/1856385810527830127 | [
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1856642003460927547 | browser-use
Open-Source Web Automation library with any LLM.
https://t.co/t4oCTris4M | https://twitter.com/i/web/status/1856642003460927547 | [
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] |
1856645147502456871 | You can use SequenceMatcher (difflib module) to analyze similarity between strings. 🐍 😍
#python https://t.co/NK5bIyryp1 | https://twitter.com/i/web/status/1856645147502456871 | [
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1856450810764243343 | based on everything you know about me, give me your best tough love advice i need to grow as a person
don’t hold back | https://twitter.com/i/web/status/1856450810764243343 | [
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1856411798255333840 | RAG is overrated. Reports are the real game-changer.
It's not about saving time answering questions. It's about generating high-value decision-making tools that drive business outcomes.
The future of AI isn't chat. It's crafting the perfect report template.… | https://twitter.com/i/web/status/1856411798255333840 | [
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1856340218967695631 | Today's the day - we just released BOTH of @ThePrimeagen 's Git courses for free - link in comment https://t.co/VEDl7bTa9i | https://twitter.com/i/web/status/1856340218967695631 | [
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] |
1856049271096914034 | Any code that has no tests is broken code.
There are a few skills more important than learning how to evaluate LLM-powered applications.
Building an LLM demo is straightforward, but every professional developer can tell you how hard it is to build production-grade systems that… https://t.co/yYhyqjJi6f | https://twitter.com/i/web/status/1856049271096914034 | [
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1856229028748755119 | Hugging Face welcomes the Qwen2.5-Coder Series —state-of-the-art language models matching GPT-4o's coding capabilities, released today by the @Alibaba_Qwen team.
🧵👇🏻
[1/N] https://t.co/CnRTz50TNB | https://twitter.com/i/web/status/1856229028748755119 | [
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1856109434260369727 | The latest uv release addressed the most significant case of spec non-compliance in our resolver...
The uv resolver now correctly handles local version identifiers, like the +cpu and +gpu segments you see in PyTorch versions, thanks to Eric Mark Martin from @JaneStreetGroup. https://t.co/HhCfYeiSzR | https://twitter.com/i/web/status/1856109434260369727 | [
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] |
1855906818196746466 | Woah! 🤯
I'm absolutely blown away by all the love for 🦛Chonkie✨ - our smol but mighty Python chunking library!
You're making this tiny hippo's (and my) heart grow bigger 💙
Thanks for every star, download, and CHONK of your support! Keep CHONKING 🫶
🔗https://t.co/SeM5nfAQ4E https://t.co/rXQECJjUC9 | https://twitter.com/i/web/status/1855906818196746466 | [
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1855266555283570989 | ✍️ @GoogleDeepMind just open-sourced its internal prompt-tuning guide, which includes descriptions of the differences between pretraining and post-training; system instructions; and more: https://t.co/og9ql6i5xM | https://twitter.com/i/web/status/1855266555283570989 | [
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1735396495992467612 | Last Monday, we wrapped up 2023 with the fifth edition hosted by @BeCode.org in Liège. A big thanks to all of you who attended, presented or were involved in any other manner with the #PythonUserGroup across all our 2023 activities ❤️
👉 https://t.co/HXK4xpk1Ij 👈 https://t.co/X2xRUF5Ffj | https://twitter.com/i/web/status/1735396495992467612 | [
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1735748003686912366 | Gemini, Google's latest and most advanced model, is also great at generating prompts for Stable Diffusion! In this notebook, use Gemini to assist you in creating the best possible prompts for generating images in Stable Diffusion: https://t.co/8dPDKwGCa0 | https://twitter.com/i/web/status/1735748003686912366 | [
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1735478051344154683 | Gemini has launched! We are starting a series of notebooks demonstrating Gemini in Colab, starting with using Sheets and Colab to facilitate creation of a personalized holiday note. Once you have a Gemini API key from Google AI Studio, try it out here: https://t.co/PMAriZOj7L | https://twitter.com/i/web/status/1735478051344154683 | [
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] |
1735480568312369603 | Here is one of the most easy-to-follow e2e tutorials, by Hubel Labs, of how to setup an advanced RAG pipeline over your data 👇
There are comprehensive diagrams showing you what the entire RAG pipeline looks like, from ingestion to retrieval. There is also a great visualization… https://t.co/6nzxcudp7t https://t.co/LsenMMbYNC | https://twitter.com/i/web/status/1735480568312369603 | [
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] |
1735365665123602879 | Great user guide @PawarSpeaks! The ConnectionPatch is a powerful feature that I have used to create Zoom indicators for timeseries data.
https://t.co/Pc3mfvqi1x https://t.co/WGUsXFCNIU https://t.co/9TJEqClL5w | https://twitter.com/i/web/status/1735365665123602879 | [
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1734951795271581785 | Say hi to ‘Geocomputation with Python’!
Our new blog post introduces the book about working with spatial data in Python.
https://t.co/E8lLjiEiev
#geopython #python #geocompx #gischat https://t.co/CmbTn5F1wq | https://twitter.com/i/web/status/1734951795271581785 | [
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1734952757722001626 | Today developers can start building with our first version of Gemini Pro through Google AI Studio at https://t.co/ozfVwuBpSZ.
Developers have a free quota and access to a full range of features including function calling, embeddings, semantic retrieval, custom knowledge… https://t.co/GHzFaoU9cK | https://twitter.com/i/web/status/1734952757722001626 | [
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1734618868486902043 | 🎉 Big news at Dataroots! We're searching for a Marketing Intern who's as fired up about data & AI as we are. Love community engagement and creating cool content? Let's talk! Apply here: https://t.co/9kP9hIFOgM #JoinUs #DataAI #MarketingIntern #Excited 🚀🌱 | https://twitter.com/i/web/status/1734618868486902043 | [
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1734592211478519974 | 15,000 people in one room at #NeurIPS 2023 for a keynote is remarkable. Of course it’s on the topic of LLMs (Large Language Models). Dr. Lora Aroyo talks about the many faces of responsible AI. See her three conclusion slides in the pictures below. #AI #ArtificialIntelligence https://t.co/jWgz8e5OFz | https://twitter.com/i/web/status/1734592211478519974 | [
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1734596536699347040 | Join the Data & AI Revolution at Dataroots! We're looking for an ambitious Business Developer to join our team. Shape the future of data and AI innovations and make a real impact. Apply now and become part of our journey! https://t.co/Hwgo4TFMBB #BusinessDevelopment #JoinOurTeam https://t.co/kCxm0JCN2O | https://twitter.com/i/web/status/1734596536699347040 | [
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1734567770770018442 | Did you know that, for about 15 seconds every few minutes, you (yes YOU!) have the potential VO2max of an Olympian?!
I received a good follow up Q to my last post on why most of us don't need "VO2max Intervals"....
"But, if I never train at those levels of intensity, how am I… https://t.co/NQmcL4H0i5 | https://twitter.com/i/web/status/1734567770770018442 | [
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] |
1734441740042375474 | DataStack
Datastack is an open-source framework that enables you to easily build real-time web apps, internal tools, dashboards, weekend projects, data entry forms, or prototypes using just Python—no frontend experience required.
https://t.co/qSgBFwZAwe | https://twitter.com/i/web/status/1734441740042375474 | [
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] |
1734293620197597374 | Delighted to see my open-source packages #leafmap and #geemap being acknowledged as part of the fastest-growing #geospatial packages in 2023! Many thanks to Matt Forrest for compiling this impressive list 👇
https://t.co/EbII3xYny7 https://t.co/mJx3r1WzV9 | https://twitter.com/i/web/status/1734293620197597374 | [
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] |
1734299333992845821 | Your regular reminder...
You're going to need to free up *a lot* of space to train as you get older, just to *maintain* your 'younger you' fitness.
Consider this a challenge. | https://twitter.com/i/web/status/1734299333992845821 | [
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Subsets and Splits