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1734261446429810818 | New blog is out:
Ibis + DuckDB geospatial: a match made on Earth just dropped from @ncclementi , check it out
https://t.co/yL4At5ytVH | https://twitter.com/i/web/status/1734261446429810818 | [
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1734181381310169393 | Traffic data is one of the best predictors of local economic activity.
But it's notoriously difficult and expensive to access.
There's now a free traffic dataset which covers 40 cities.
Here's what you need to know about it: https://t.co/SOtXfWQ3fL | https://twitter.com/i/web/status/1734181381310169393 | [
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1734192996663320710 | Enhancing RAG: LlamaIndex and Ollama for On-Premise Data Extraction 🚀
Complete video: https://t.co/QGhvy5Ic4W
Code: https://t.co/IKZfKXDHbs
@llama_index provides API for @Ollama_ai integration. This means we can easily use LlamaIndex with on-premise LLMs through Ollama. I… https://t.co/xiiYkIyuyW | https://twitter.com/i/web/status/1734192996663320710 | [
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1734218825510359423 | The most valuable AI skill you can learn today:
Learn how to build Retrieval Augmented Generation (RAG) applications using Large Language Models.
So far, RAG applications are the most helpful outcome of the AI revolution. Everyone is using Large Language Models. We'll see an… https://t.co/AiN375NG1S | https://twitter.com/i/web/status/1734218825510359423 | [
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1734234089769603253 | Grab your coffee and tune in to our new DataTopics podcast! It's where tech meets talk, and data mingles with chit-chat. 🎙️ Casual, insightful, and perfect for your morning. 🌐 Listen now: https://t.co/PT8Z5l1YT9 #DataTopics #TechPodcast https://t.co/sOu6v6PYiu | https://twitter.com/i/web/status/1734234089769603253 | [
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1734205432443400336 | Here's a plain but powerful use of `functools.partial` in Python 🐍🚀
What are other plain but powerful examples of `partial` in action? https://t.co/4wBtYVn17g | https://twitter.com/i/web/status/1734205432443400336 | [
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1734181238246723585 | FIVE Python libraries for time series forecasting.
👉 skforecast
👉 sktime
👉 https://t.co/BbP6HdU4iz
👉 DART
👉 Nixtla | https://twitter.com/i/web/status/1734181238246723585 | [
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1733949148271976520 | Greetings👋!
Have you heard about the latest matplotlib a.k.a. 3.8?
No?
Well it's about time as the new version's been out since September❗
Sorry 'bout that😅
Here's the release note:
https://t.co/gpgpbxahXr
In the meantime, let's have a look at some highlights!
1/🧵 https://t.co/py4XKqjnem | https://twitter.com/i/web/status/1733949148271976520 | [
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1734198391691751482 | Another week, another Datatopics Unplugged podcast episode! We cover topics from Gemini LLM, to fake authors and JSONB types in SQLite. Get the latest episode wherever you listen to your podcasts: https://t.co/lN9s6tl0Rz 🚀 Now with live stream: https://t.co/QfZKPfpWyK 😅 https://t.co/BbI1Su3mJs | https://twitter.com/i/web/status/1734198391691751482 | [
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1733935475432313066 | This is the ONLY good way to receive feedback:
1/ Never, ever argue with the person giving you feedback. Don't contradict them. This isn’t about who’s right. It’s about receiving feedback.
2/ Just let then explain an whenever possible, ask more questions. Don’t say things like… | https://twitter.com/i/web/status/1733935475432313066 | [
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1733935086964244790 | We have lift-off here at the NeurIPS 2023 Conference in New Orleans, Louisiana (USA) with an interesting session on how to combine classic recommender systems with LLMs (Large Language Models). #AI #ArtificialInteligence #NeurIPS https://t.co/wUzTlWr681 | https://twitter.com/i/web/status/1733935086964244790 | [
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1734000059094888546 | *New Dataset Announcement*
Use case: Sparse + Dense Vectors for your RAG / "Chat with pdf" apps
Features:
1. 100K Vectors Dataset
2. Popular Support: OpenAI and SPLADE Vectors
3. DBPedia Entities: So make no complaints about lack of proper nouns!
https://t.co/eB03Y38eRb | https://twitter.com/i/web/status/1734000059094888546 | [
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1732822851009278381 | If you work in anomaly detection, data quality or data curation processes, this post is for you 👇 https://t.co/wECRsFYxOn | https://twitter.com/i/web/status/1732822851009278381 | [
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1730638164413252074 | I've just released the first version of FastUI! 🧵
If you're a Python developer, FastUI lets you build @reactjs interfaces without writing any JS.
If you're a frontend developer, FastUI saves you from copy-pasting code for every view, letting you concentrate on building magical… | https://twitter.com/i/web/status/1730638164413252074 | [
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1733474848368681272 | A different type of road system
https://t.co/WrABZJSO4V | https://twitter.com/i/web/status/1733474848368681272 | [
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1733464207335825602 | Confidence intervals are widely used yet poorly understood!
Today, I will clearly explain the meaning behind the "95" in a "95% confidence interval."
Before we dive into formal definitions and mathematics, let's first understand what a confidence interval is and why it is… https://t.co/ll85ThWpZJ | https://twitter.com/i/web/status/1733464207335825602 | [
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1733593830635557182 | "In opdracht van @vlaams_brabant werkt @tmleuven aan een nieuw monitoringsysteem voor de 31 km lange F3-fietssnelweg tussen Leuven en Brussel.
De bedoeling is om hiervoor Telraam-sensoren en TML’s simulatieomgeving Traffic Scout te gebruiken."
https://t.co/vvBvPYAd8W https://t.co/N2SjjQEX9e | https://twitter.com/i/web/status/1733593830635557182 | [
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1733653470987825452 | RAG over Complex PDFs 📑
The issue with basic RAG strategies (chunking, top-k), is that they’re fine with plain .txt essays, but they do terribly over complex documents - w/ embedded objects like tables, diagrams 📊, and hierarchical sections 🪆
You can solve this with… https://t.co/jSMnzdDXIS | https://twitter.com/i/web/status/1733653470987825452 | [
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1733203450127650899 | This seven-day stretching routine is for tense people.
You relax your mind by clearing the excess pressure stored in your body.
The stretches target typical tension hot spots and create more space around your joints.
Turn your stress around in less than 15 mins/day:
Day 1… https://t.co/zMWkkrzXSc | https://twitter.com/i/web/status/1733203450127650899 | [
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1733232729154601007 | Google's AI tech stack https://t.co/D80Ec4oxNP | https://twitter.com/i/web/status/1733232729154601007 | [
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1733208049513611339 | visualizing text splitting & chunking strategies
ChunkViz .com
I thought I remembered a tool to visualize text chunking, but I couldn't find it, so I built one
I didn't realize it would be so visually pleasing to tinker with
4 different @LangChainAI splitters featured https://t.co/4VywxHdqAa https://t.co/vN2kdIBgxd | https://twitter.com/i/web/status/1733208049513611339 | [
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1733085840581296556 | @GregKamradt I asked ChatGPT4 to build this and it actually built it in one go. Check the app here: https://t.co/JvDRSDNOs3
I made only 3 minor changes: 1. Add 25% CSS padding, 2. Choose a better color palette and 3. Added the default text to be the prompt that built it. https://t.co/aoLvj9Y12P | https://twitter.com/i/web/status/1733085840581296556 | [
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1732838062747529556 | I made it to #4 on HackerNews with https://t.co/pOYTN6my0L That's a personal best :-)
And I now have 40+ people on the waiting list, thanks to the @ConvertKit landing page I made last minute. https://t.co/cJfgmH1y5O | https://twitter.com/i/web/status/1732838062747529556 | [
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1733011317340946873 | How it started How it's going https://t.co/PaBB0HFyuE | https://twitter.com/i/web/status/1733011317340946873 | [
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1733035690139533441 | New read 📚 from Martijn Vanderschueren on the steep energy costs of training ML models like GPT-3 and what it means for our carbon footprint. #MachineLearning #Sustainability Full post 👉 https://t.co/fMdoE4s8wJ https://t.co/0e6iAHRCsS | https://twitter.com/i/web/status/1733035690139533441 | [
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1732773047852314637 | Made a chunk visualizer in 10 minutes w/ gpt-4 help
Hope I find a link to save some work but I'm still blown away at the time-to-value for quick ideas
I'm building this to help people visualize how different chunking algorithms + parameters work https://t.co/4VywxHdqAa https://t.co/HjI9bPNmVu | https://twitter.com/i/web/status/1732773047852314637 | [
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1732654874880303237 | Filosofie is er niet alleen voor de highbrows. https://t.co/3p2TJvsmBU | https://twitter.com/i/web/status/1732654874880303237 | [
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1732941333877186993 | This looks like a really cool project for formatting data tables with pandas - https://t.co/23cGDZ7bQS
It looks like sidetable on steroids.💪 | https://twitter.com/i/web/status/1732941333877186993 | [
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1732682318303678724 | #ai #artificalintelligence #chatGPT https://t.co/jfQn2uQEji | https://twitter.com/i/web/status/1732682318303678724 | [
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1732451782750527561 | I switched from being anti-pie-chart to pro-pie-chart a few yrs ago, but several of my reasons weren't in any articles or books that I read, so I've listed them in this Nightingale @DataVizSociety article. Have I resolved the debate, or am I delusional? https://t.co/UOAVhfun3s | https://twitter.com/i/web/status/1732451782750527561 | [
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1732353445275881516 | New post alert 📖✨! Ease into MLOps with dbt Python models. Thanks to our own Dorian Van den Heede for the insights at PyData Eindhoven meetup. Curious? Read Bart Smeets' blog post 👉 https://t.co/KqMxnTt6Jq #MLOps #Python #DataScience @DataRootsIO https://t.co/e0RPSwrl49 | https://twitter.com/i/web/status/1732353445275881516 | [
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1732150579928150247 | Announcing our latest launch: are you a fan of developing on @Replit? Now there's a one-click, full-stack LlamaIndex template waiting for you!
https://t.co/jbzhF42yuO
⭐️ Full-stack Next.js app in TypeScript
⭐️ Reads any files you give it
⭐️ Provides a chat interface to query… https://t.co/t9HLVBmZEs | https://twitter.com/i/web/status/1732150579928150247 | [
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1731965432486133809 | https://t.co/EiMqPICQ6a
Inline dependencies for small Python scripts.
https://t.co/5aFKeOsTud | https://twitter.com/i/web/status/1731965432486133809 | [
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1731690133638803757 | Discover Taipy the open-source Python library that helps you develop the front-end of a web application without having to know about HTML, JS or CSS. With its simple syntax, create interactive & customizable multiple-page dashboards with ease #sponsored https://t.co/6Vs6JOiuMR | https://twitter.com/i/web/status/1731690133638803757 | [
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1731782680931410395 | I released marker last week - https://t.co/t3V2uTXHme .
Within 72 hours, marker got to #1 on HN, with 700 votes, and was starred 3.4k times on Github.
I didn't expect this kind of response - thank you so much for the support! | https://twitter.com/i/web/status/1731782680931410395 | [
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1731719790698418235 | @datarootsio @talan_fr Me: Make sure the star is blue though.
DALL·E: https://t.co/Adf3J2bIOR | https://twitter.com/i/web/status/1731719790698418235 | [
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1731641416382582922 | Catch up with tech! 🚀 GUPPI's weekly #technoshare round-up covers Microsoft & OpenAI's partnership 🤝, Python's typing evolution ✍️ & a Lego sorting tech marvel! 🧠 💡 More insights here: https://t.co/wercF0iZJB #technews #Python #AI https://t.co/4yXNcwvV6g | https://twitter.com/i/web/status/1731641416382582922 | [
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1731268911553819132 | Sam Altman: "Most people give up too quickly." https://t.co/0WtiKynr0Z | https://twitter.com/i/web/status/1731268911553819132 | [
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1731360487919739377 | LLM/RAG dev in a notebook is hard, but “full-stack” LLM development is even harder 🧑💻
We have three core tools in the @llama_index ecosystem to help you build a full-stack LLM application, and we’ve now centralized it into a core guide 👇
✅ create-llama: create a full-stack… https://t.co/n3rF94KXUP | https://twitter.com/i/web/status/1731360487919739377 | [
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1731122120199909621 | Definitely a project to watch, if you want a quick UI in Python:
https://t.co/stWVSrNkSB | https://twitter.com/i/web/status/1731122120199909621 | [
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1731167734690668613 | This is the first pass on the new chapter for ML Engineering:
The AI Battlefield Engineering - What You Need To Know
https://t.co/lzBvrjBURs
This a WIP and your feedback for improvement is always welcome. https://t.co/qairPHpQov | https://twitter.com/i/web/status/1731167734690668613 | [
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1731121252142878982 | You can now spin up a RAG + @streamlit app in one line of code! ⚡️
Check out our brand-new `StreamlitChatPack` - all you have to do is download the pack, and you immediately get a RAG pipeline with a full @streamlit chat interface.
It happens so quickly in the below video (<4… https://t.co/EzAlzhWehZ | https://twitter.com/i/web/status/1731121252142878982 | [
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1730953946368180448 | Ladder of Inference
Describes the thinking process we go through—often subconsciously—to get from a fact to a decision or action.
To make better decisions, we should move slowly and deliberately from the bottom of the ladder to the top of the ladder.
h/t (image) - @amrancz https://t.co/pLfuTfvGpT | https://twitter.com/i/web/status/1730953946368180448 | [
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1730815807733604800 | 🛖Building a Retrieval Augmented Generation Chatbot
If you are looking to learn how to build an end-to-end app to allows users to talk with their PDFs, check out this from @sophiamyang
It covers:
📃Ingestion
🧠Prompting
🖼️Frontend
Blog: https://t.co/P1n1qp2bdK https://t.co/zzprDqQjYb | https://twitter.com/i/web/status/1730815807733604800 | [
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1730629675435835865 | Parsing tables in PDFs is a super important RAG use case. We found that using the recent Table Transformer model (@deepsmock) combined with GPT-4V gives you superpowers 💪
The Table Transformer model extracts tables from PDFs using object detection 📊
We have a full notebook… https://t.co/aVh9aqIk8A | https://twitter.com/i/web/status/1730629675435835865 | [
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1730634607421190517 | RETVec our new SOTA robust text tokenizer for classification that we successfully used to improve the Gmail spam classifier is available on Github: https://t.co/r5TIa5S5JK and the related NeurIPS paper is on Arxiv: https://t.co/QKVOceCDnb
#deeplearning #keras #tensorflow #ai https://t.co/oL3IW0kPHR | https://twitter.com/i/web/status/1730634607421190517 | [
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1730636568635773093 | Github: https://t.co/X4hXf9F7fM | https://twitter.com/i/web/status/1730636568635773093 | [
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1730642558768853326 | https://t.co/QaZs9rfbk9 | https://twitter.com/i/web/status/1730642558768853326 | [
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1730400634757939691 | Extracting structured metadata from text (e.g. title, summary) is a big component to improve RAG performance, but naive implementations are slow 🐌
Thanks to @LoganMarkewich, we’ve just made this super fast - get 2x-10x speedups! ⚡️
Check out our async metadata extraction… https://t.co/ixnUrkw4Sk | https://twitter.com/i/web/status/1730400634757939691 | [
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1730426923690700896 | So much great stuff in this @jeremyphoward interview on OpenAI and LLMs - I grabbed this quote for my blog, but there's a ton of insight crammed into this one https://t.co/pq5oCSPHDc https://t.co/ZuL88wcQ6n | https://twitter.com/i/web/status/1730426923690700896 | [
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1730357379194400803 | I'm excited to ship marker - a pdf to markdown converter that is 10x faster than nougat, more accurate outside arXiv, and has low hallucination risk. Marker is optimized for throughput, like converting LLM pretrain data.
Find it here - https://t.co/t3V2uTYfbM . https://t.co/jiJUFjoj2r | https://twitter.com/i/web/status/1730357379194400803 | [
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1729924040230629485 | New short course on sophisticated RAG (Retrieval Augmented Generation) techniques is out! Taught by @jerryjliu0 and @datta_cs of @llama_index and @truera_ai , this teaches advanced techniques that help your LLM generate good answers.
Topics include:
- Sentence-window retrieval,… https://t.co/bExne51Pex | https://twitter.com/i/web/status/1729924040230629485 | [
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1730269637768835470 | ⭐️ Deconstructing RAG ⭐️
Given the importance of RAG and the fast pace of development, we've grouped popular RAG concepts into a few categories and created guides for each one.
The this new blog post, we summarize these categories / guides and highlight some questions to ask… https://t.co/LpYuKtlTB5 | https://twitter.com/i/web/status/1730269637768835470 | [
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1730102961643135477 | @NathanLands My bet is for Anthropic or Google but more likely Anthropic | https://twitter.com/i/web/status/1730102961643135477 | [
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1729760318157455683 | This Monday I gave the last lecture in my course on explainability 🫡
Readings/slides are available at https://t.co/Pf78Tnkr2y
+ lecture recordings at https://t.co/f5EfcqH5WZ 🎬 | https://twitter.com/i/web/status/1729760318157455683 | [
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1729858478682808531 | Build a Unique RAG Pipeline with @LangchainAI that handles complex docs👌.
Guide by Sofia Sakout covers parsing, retrieving & answering data across sources. Learn how Ragas evaluates pipeline for tailored refinement. Innovative QA systems made possible→ https://t.co/v1w1WMAXs5 https://t.co/rKALmouDcd | https://twitter.com/i/web/status/1729858478682808531 | [
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1729929336621322367 | Microsoft released some new Table Transformer (TATR) checkpoints, hence I've ported them to @huggingface. This model can be used for detecting tables and their structures (rows, columns, cells) in PDF images
Made a Space to illustrate its use cases
https://t.co/pTUtDhNEQu https://t.co/fM5RG1Dapr | https://twitter.com/i/web/status/1729929336621322367 | [
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1729816070955864506 | Sam Altman: "Being young, unknown, and poor are actually great gifts." https://t.co/muoqqOFFws | https://twitter.com/i/web/status/1729816070955864506 | [
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1729728321049481229 | Some repair hacks https://t.co/FxhjeWlvtd | https://twitter.com/i/web/status/1729728321049481229 | [
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1729775453290836465 | Excited to be able to say that dataroots, powered by Talan, is sponsoring PyladiesCon 🙌
This event is a celebration of the incredible contributions of women in tech, particularly in the Python community.
#PyLadiesCon #SaveTheDate | https://twitter.com/i/web/status/1729775453290836465 | [
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] |
1729832605539782943 | Looking to interpret models with partial dependence plots and accumulated local effects plots?
Check out these libraries:
👉 pdpbox https://t.co/QCmwzoIVnk
👉 dalex https://t.co/HsyKvvsopX
👉 pyALE https://t.co/bJ1CKQAFO6 | https://twitter.com/i/web/status/1729832605539782943 | [
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1729587400240967761 | Pleased to announce our inclusion in @OpenAI's official cookbook: https://t.co/1E5vyZD3k1
No system is complete unless you can test it, so our entry focuses on evaluating RAG systems using our synthetic data generation technique.
Direct link to our cookbook:… https://t.co/4QOA4ygpYE | https://twitter.com/i/web/status/1729587400240967761 | [
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1729590163678917076 | If you're new to Retrieval Augmented Generation, a fantastic place to start trying it out is @jerryjliu0's new RAGs @streamlit app.
3.6K github stars in 2 weeks!
https://t.co/FRTAgH9lwD | https://twitter.com/i/web/status/1729590163678917076 | [
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1729501425883853005 | We're proud sponsors of the next PyLadiesCon Global! 🌍 Dive into their efforts for inclusivity in tech and our role in their journey in our latest blog by Murilo Cunha. 🔗 https://t.co/jWKE0eRuhT #PyLadies #DiversityInTech https://t.co/aHkN7zVywb | https://twitter.com/i/web/status/1729501425883853005 | [
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1729484222891512137 | If your marathon pace is more than 20% slower than your 5K pace, you don't need to be worrying about speedwork...
You need more base! | https://twitter.com/i/web/status/1729484222891512137 | [
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1729133512639332411 | Change is hard. I still need to remind myself that `plt.subplot_mosaic()` exists from time to time. But it's worth it.
Pawel (@pawjast) and I had a chat about our experience with this relatively new function in the Matplotlib API and we both agree it's a cool function!
You can… | https://twitter.com/i/web/status/1729133512639332411 | [
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1728942767752253502 | LLMs operate on tokens.
OpenAIs tiktoken has a neat educational mode to visualize how text gets converted to LLM tokens.
The most widespread tokenization method for text is Byte Pair Encoding (BPE) that originated as a simple and effective data compression algorithm by Philip… https://t.co/WJECMwse4L | https://twitter.com/i/web/status/1728942767752253502 | [
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1728779107083649295 | "It can start really small!"
"That's the kernel of a successful company."
The way to build a generational company, according to Tim Cook?
Find these people: https://t.co/jDqhKKFZPV | https://twitter.com/i/web/status/1728779107083649295 | [
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1728894193177899020 | In case it's useful for more people, posted a small script built on top of pypdf (https://t.co/JRYvGNgpA4) to magnify giant-margin conference/book PDFs into reasonable-margin PDFs, while preserving hyperlinks (unlike pdfjam) and anchors. More information: https://t.co/fppdX8urMO | https://twitter.com/i/web/status/1728894193177899020 | [
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] |
1728849740111192108 | To summarize, in shampoo try to avoid:
- Silicones
- Parabens
- Phthalates
- Synthetic fragrances
- Artificial colorings
These ingredients are extremely cheap & are used to maximize profits, not your health | https://twitter.com/i/web/status/1728849740111192108 | [
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1728711693071519776 | This Post is from a suspended account. {learnmore} | https://twitter.com/i/web/status/1728711693071519776 | [
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1728609571273367869 | Your ability to succeed depends on your willingness to be embarrassed and fail. https://t.co/k7WQC7fj17 | https://twitter.com/i/web/status/1728609571273367869 | [
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1728475340970791219 | This workout is for people who sat all week.
You target the muscle groups most affected by your chair.
The circuit tenses the weak places and stretches the tight ones.
Do 3 sets of 10-12 reps before your next work week starts:
A1- Squats with a 3-second hold at the bottom… https://t.co/lBJXzDMOfb | https://twitter.com/i/web/status/1728475340970791219 | [
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1728425101488726457 | 3 core exercises to do every day if you sit at a desk:
1. Bird Dogs work the back (aka. posterior) part of your core.
This exercise allows for correct movement, control, and stability of the entire body.
2. McGill Crunches target the front (aka. anterior) part of your core.… https://t.co/0f1sjULaN5 | https://twitter.com/i/web/status/1728425101488726457 | [
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1728599593242517663 | T his Fei-Fei quote brought a smile to my face https://t.co/uBvqEMGlP5 | https://twitter.com/i/web/status/1728599593242517663 | [
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1728519425244934248 | Open AI has released a new series of features for its latest model, GPT-4 Turbo, which is expected to be released later this year. #GPT4 #OpenAI #DataScience #ArtificialIntelligence https://t.co/QyD0TGekcd | https://twitter.com/i/web/status/1728519425244934248 | [
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1728368145835102278 | What to do after falling into water with clothes
https://t.co/ju98qO7Jgc | https://twitter.com/i/web/status/1728368145835102278 | [
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1728081042563535236 | Paul Graham on how to do great work. https://t.co/cxhD5JLFFV | https://twitter.com/i/web/status/1728081042563535236 | [
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1728158136622797269 | Head-to-head 🥊: LlamaIndex vs. OpenAI Assistants API
This is a fantastic in-depth analysis by @tonicfakedata comparing the RAG performance of the OpenAI Assistants API vs. LlamaIndex. tl;dr @llama_index is currently a lot faster (and better at multi-docs) 🔥
Some high-level… https://t.co/OIPlfe1chZ | https://twitter.com/i/web/status/1728158136622797269 | [
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1728196122496360683 | Multi-document RAG is hard. The article below shows that the OpenAI Assistant API does much better on single documents vs. multiple documents.
We have a ton of resources in @llama_index for modeling multiple documents, from most complex to least complex - check it out 👇
-… https://t.co/gHfCMNg2Ef | https://twitter.com/i/web/status/1728196122496360683 | [
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1728201495924081141 | Steve Jobs on how to resolve conflict: https://t.co/4GLhr8WSDN | https://twitter.com/i/web/status/1728201495924081141 | [
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1727978743619047810 | Some t-shirts deserve a tweet https://t.co/yiXChrK4e0 | https://twitter.com/i/web/status/1727978743619047810 | [
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1727687937599369489 | "You don't want diversity of vision!"
The main reason companies get intro trouble...
Sam Altman predicted it:
Different visions within from executives at a company can make it implode. OpenAI, which recently sought an $86b valuation, is no exception.
The solution, according… https://t.co/xhTmY9Z0s0 | https://twitter.com/i/web/status/1727687937599369489 | [
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1727661687510069382 | MTB é muito legal. Dizem… :-) 🎥 IG @downhillinsanity https://t.co/7awUEMiblo | https://twitter.com/i/web/status/1727661687510069382 | [
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1727993343588622838 | 🚰 Sinds vandaag zijn er watertappunten in 6 grote stations. Tegen eind 2024 breidt #NMBS dit uit naar 100 stations. Dankzij dit initiatief zal op termijn 80% van de treinreizigers toegang hebben tot gratis en gefilterd drinkwater. #drinkfles #duurzaamheid #kraanwater https://t.co/GUAqhCu7rA | https://twitter.com/i/web/status/1727993343588622838 | [
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1727719541059580167 | Full PDF downloadable here: https://t.co/MOGp13x6Rh https://t.co/uEdRGVR89t | https://twitter.com/i/web/status/1727719541059580167 | [
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] |
1727719414458724765 | 9 years ago I published my Belgian train network map, showing each individual hourly weekday connection across the network. It was intended to show service levels across the network in preparation of the biggest timetable change in years in December 2014. Full PDF below. https://t.co/AXXZLH1nwN | https://twitter.com/i/web/status/1727719414458724765 | [
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1111773593656918016 | I’ve handled the review of > 1000 papers at @nature. Over time, you notice aspects of presentation on which reviewers tend to comment. In the interests of minimizing hassles during review, I offer the following suggestions (a bit targeted to climate papers). | https://twitter.com/i/web/status/1111773593656918016 | [
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1727597184927854785 | Mooie datavisualisatie in Nature, die de uitdaging van het Parijsakkoord (opwarming <= 1.5°C) in beeld brengt. https://t.co/A2opnfiQjz | https://twitter.com/i/web/status/1727597184927854785 | [
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1727399231734886633 | GPT-4 Vision: How to use @LangChainAI with Multimodal AI to Analyze Images, Tables and Texts in Financial Reports.
In this in-depth, practical workshop with @RLanceMartin, you'll learn how use multimodal RAG with @OpenAI's multimodal GPT-4V to analyze documents that contains… https://t.co/Kuo8GIENce | https://twitter.com/i/web/status/1727399231734886633 | [
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1727502865944764443 | Prompting AI to build itself is probably a step towards AGI.
Philosophical questions aside given the past week, we looked into a simple version of how this works.
We built this in a very constrained setting through our RAGs project to create a RAG agent purely through natural… https://t.co/VX5qi39UOR https://t.co/IZVawZQ0mi | https://twitter.com/i/web/status/1727502865944764443 | [
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1727340099866595511 | “Visual diagnosis of tree boosting methods”
“Tree boosting, which combines weak learners (typically decision trees) to generate a strong learner, is a highly effective and widely used machine learning method.
However, the development of a high performance tree boosting model… https://t.co/KYdnfLALXs | https://twitter.com/i/web/status/1727340099866595511 | [
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1727384038854336539 | I teach Markov chain Monte Carlo #McMC, to build a strong foundation in my #MachineLearning course. Students often struggle with the concept.
Yesterday, I built out this interactive #Python @matplotlib #dashboard to demonstrate the #Gibbs sampler! Sample the joint from the… https://t.co/qclTCJF8Gd | https://twitter.com/i/web/status/1727384038854336539 | [
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1727281108792807646 | Super proud of the team we've built, and we're only getting started. https://t.co/KqgpdrjgYw | https://twitter.com/i/web/status/1727281108792807646 | [
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1727210939496472763 | This meme takes on another meaning https://t.co/AszQ1YbLwk | https://twitter.com/i/web/status/1727210939496472763 | [
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1727266107981971922 | Kicking off Search Solutions 2023 is Professor Julie Weeds on Understanding the Dangers of using #LLMs - starting with some ancient (well, 1995) history https://t.co/vaLrFj2jUr | https://twitter.com/i/web/status/1727266107981971922 | [
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1726602083791777822 | Sam Altman warned us:
“Everyone thinks you can hire someone to do this."
"That fails 100% of the time."
A board of directors won't cut it.
The secret to building a generational company, according to him?
The founder doing this every day: https://t.co/uhQAmx7O9Z | https://twitter.com/i/web/status/1726602083791777822 | [
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1727050466075480122 | @AravSrinivas That is an interesting book selection behind Microsoft CEO Satya Nadella in the Bloomberg interview.
• Accelerate: The Science of Lean Software and DevOps: Building and Scaling High-Performing Technology
• Prosperity: Better Business Makes the Greater Good
• Lead from the… | https://twitter.com/i/web/status/1727050466075480122 | [
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1727006217837633793 | I gave a talk on GeoArrow and GeoParquet in https://t.co/OQskk5sQNl in early September, which was just put online. This has some good background, though predates the latest work with lonboard.
https://t.co/pFxAF06wdg | https://twitter.com/i/web/status/1727006217837633793 | [
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1726883072023634157 | Who needs traffic lights? https://t.co/cLxYggqwwS | https://twitter.com/i/web/status/1726883072023634157 | [
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Subsets and Splits