 ISSUE 463 · December 5, 2023Talks & ConferencesIntro to Large Language ModelsThis introduction to LLMs explores how LLMs work, where they are headed, security issues, and how they compare to operating systems as of late November, 2023. It's a technical talk but it's intended for non-experts and is easy to follow. Sponsored Link Responsible AI in the wild: Lessons learned at AWSPenn 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. Posts & TutorialsAdvent of CodeAdvent of Code is a calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any language you like. People use them as interview prep, company training, university coursework, practice problems, a speed contest, or to challenge each other. You don't need to be a programming expert for these. A little coding knowledge and some problem solving skills will go pretty far. VScode + Docker + R = ❤️This is a great guide for setting up an R development environment with VScode and Docker. It starts with a section that explains the advantages of each tool and when and why to use them together. From there, it's an easy to follow, step-by-step tutorial for setting everything up. There's also a Python version of this guide from a few months ago 👉 Data Quality Score: The next chapter of data quality at AirbnbMore data isn't necessarily better and if you're not sure of the data's quality, more data can actually hinder good decision-making. Creating data quality scores is an approach that can help identify issues and optimize decision-making but how do you do that at scale? Here's an inside look at Airbnb's approach to data quality, especially at scale. EndatabasEndatabas is an open source immutable database that benefits from today's confluence of scale-out computing power, limitless disk space, and machine learning. It will store anything, forever. Start with the link above for background info and then head over to the tutorial 👉 How to get started with data visualizationFor anyone interested in data visualization but not sure how to start, this is a great, practical guide, with lots of exercises and examples. Interactive WeathergamiScorigami refers to a sports event where the final score has never happened before. Weathergami applies that idea to climate data and offers a new way to show the climate at different locations. This tutorial shows how it works and how to create interactive weathergami charts. PapersRecent Advances on Foundation ModelsAwesome reading list for an upcoming course on foundation models. Covers neural network basics, transformers, large language models, multimodal models, and model augmentation. This is a well-organized, curated collection and all titles are linked to the papers at arXiv. OutlierHe Wanted Privacy. His College Gave Him None.They watch you learn. They watch where you go. They watch you park. They follow you on the Internet. Some even watch your face. Who are they? Colleges. In this Markup investigation, Tara García Mathewson explores just how far the rabbit hole of campus data collection goes. Last Week's Top LinksYou're getting the free version of Data Elixir. Upgrade for monthly deep dives and access to Data Elixir's AI assistant for on-demand help with data-related research, coding, troubleshooting, and analysis. This month's deep dive is focused on career development for data people and it goes out on Friday. Upgrade now to get on the list 👉
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вторник, 5 декабря 2023 г.
Data Elixir - Issue 463
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