Data Elixir - Issue 462

ML papers explained. Bad graphs. Data internships. LLMs and scientific discoveries. Wisdom of unstructured data. ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌

ISSUE 462 · November 21, 2023   Note that Data Elixir is taking next week off and will be back in your Inbox in two weeks. If you're in the U.S., have a great Thanksgiving!   In the News OpenAI still needs people to build AI The story at OpenAI has been evolving by the hour for 4 days already. If you're not exhausted by the drama, these are the most insightful perspectives I've seen on the schism in the rapidly evolving world of AI: Inside the Chaos at OpenAI The Atlantic | Karen Hao and Charlie Warzel   OpenAI’s Misalignment and Microsoft’s Gain Stratechery | Ben Thompson   Interview with OpenAI Co-Founder & Chief Scientist Ilya Sutskever No Priors Podcast, Ep. 39, November 2nd   Sponsored Link Responsible AI in the wild: Lessons learned at AWS Penn professors Michael Kearns and Aaron Roth wrote the book on responsible AI (RAI)—literally. But as Amazon Scholars, they found that academic ideas didn't translate directly to real-world situations. Read what they learned building practical RAI models.       Reach Data Elixir readers by sponsoring an issue. Click here for details.   Posts & Tutorials Friends Don't Let Friends Make Bad Graphs This is an opinionated post about good and bad practices in data visualization, including lots of examples and explanations. If you don't need it now, bookmark it for later! There are a lot of useful ideas here. GitHub | Chenxin Li   Four Kinds of Optimisation No matter how fast hardware becomes, it's easy to write programs that are slow. Here are four practical ways to speed up slow code. Laurence Tratt   Wisdom of Unstructured Data Here's a peek under the hood that shows how Airbnb uses machine learning to extract useful information about listings from unstructured text data to power personalized experiences for its guests. The Airbnb Tech Blog | Hongwei Harvey Li   Code Development for Data Science This month's issue of Data Elixir's Deep Dives is focused on code development from a data science perspective. It covers everything from setting up your system to planning, writing and testing code. Data Elixir Deep Dives is a monthly newsletter for Pro subscribers. Start for free 👉 Data Elixir Pro   Tools & Code vlite VLite is a blazing fast, lightweight, and simple vector database made in numpy. It's built for agents, ChatGPT Plugins, and other AI apps that need a fast and simple database to store vectors. GitHub | Surya Dantuluri   Career Data Internships Looking for an internship? This new site covers a wide variety of data-related internship opportunities around the world. Currently, there are nearly 600 internships listed for data analysts, data scientists, machine learning engineers, and data engineers. Search by region or remote.  Data Internships | Antonio Tropiano   Papers The Impact of LLMs on Scientific Discovery This report explores the performance of large language models within the context of scientific discovery. It's a long-read that examines how LLMs are already useful in the sciences, areas needing improvement, and concludes with a section on new directions. arXiv | Microsoft Research AI4Science, Microsoft Azure Quantum   ML Papers Explained Awesome collection of explanations for key machine learning papers. There are more nearly 100 paper summaries here, including diagrams and links to references along the way. This is an evolving resource and new papers are regularly added. GitHub | dair-ai   Last Week's Top Links Exciting Data Visualizations with ggplot2 Extensions Spain lives in flats: why our cities are built vertically A Coder Considers the Waning Days of the Craft     How did you like this issue of Data Elixir? 👎    1     2     3     4     5   👍         You're getting the free version of Data Elixir. Upgrade for monthly deep-dives and access to the AI Data Expert that's built with the Data Elixir archives. Get on-demand assistance with data-related research, coding, troubleshooting, and analysis. And, it runs on Azure for privacy, speed and reliability. Upgrade now to lock in rates 👉     Was this email forwarded to you?  Sign up here >>     Data Elixir, LLC P.O. Box 21255 Boulder, CO 80308 Data Elixir® is curated and maintained by Lon Riesberg. If you have questions or suggestions, just reply back to this email. Unsubscribe