I've just explored the brand-new tidyplots package in R, and it’s impressive how effortlessly it enables you to create beautiful, publication-ready plots. Designed with scientific papers in mind, tidyplots lets you build, adjust, and refine plot components gradually, all with a consistent and intuitive syntax that takes the complexity out of visualization. ✔️ Simple Syntax: Tidyplots offers user-friendly functions for creating polished visuals with minimal coding, saving you time and effort. ✔️ Consistent Style: Achieve a cohesive look across all visuals, eliminating the need for repetitive adjustments. ✔️ Flexible Customization: Easily customize colors, labels, and themes to align with your project’s goals, resulting in professional and engaging data displays. ✔️ Enhanced Data Storytelling: Built for clarity, tidyplots helps you convey insights effectively, making your data stand out. The example visualizations shown here were created by the package author, Jan Broder Engler, and are featured on the tidyplots website: jbengler.github.io/tidyplots… #rstats #dataviz #tidyverse

🚀 New Course Launch! 🚀Harnessing Generative AI is NOW OPEN for enrollment! Dive into the world of generative AI and transform the way you work and innovate. For the next 24 hours only, use promo code GENAI to get 30% off your enrollment! hubs.ly/Q02Kwnqg0

New course for individuals or teams: Harnessing Generative AI dataliteracy.com/introducing…

Which #AI book matches your interests? 📚 Here are our favorites, including Most Current, Most Succinct, Most Technical, and Best Overview: hubs.ly/Q02TjFGP0

COMING SOON! Our next course in the AI Literacy series: Advancing Responsible AI. Responsible AI is all about making AI beneficial to the environment and to society. Find out how you can add your name to a waitlist to get early access and discounts: hubs.ly/Q02VkmK40

Learn about AI - what it is, how it works. its history, and how’s its impacting our world. New course for individuals or teams - dataliteracy.com/ai-literacy…

🔦 Monday Spotlight: You can improve your #dataviz by listening to experts dissect graphics. Watch Jon Schwabish share what he likes and where he sees room for improvement in this DataViz Critiques YouTube series: hubs.ly/Q02qClpj0

My latest book is now shipping! AI Literacy Fundamentals: Helping You Join the AI Conversation. Dedicated to my son, Aaron: amzn.to/49oyXVI

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Build a solid foundation of AI basics with our new course, designed for anyone curious about #AI, like - a professional trying to understand AI’s impact on your industry - a concerned citizen wanting to join the AI convo - a student exploring tech careers hubs.ly/Q02q7JJZ0

🛎️ NEW BLOG POST: What is AI Literacy? @DataRemixed, our CEO & author of the book "AI Literacy Fundamentals," gives a concise definition, and then provides a helpful guide to the 4 key aspects this critical learning priority for all of us: hubs.ly/Q02nDpFS0 #AILiteracy

Well…even if Fox News said that “AI in some form has been in continuous development for half a CENTURY,” that would be an understatement. foxnews.com/us/ais-biggest-i…

“How to Picture A.I.” by Jaron Lanier of Microsoft, featuring a fresh take and illustrations on how deep neural networks work: newyorker.com/science/annals…

Beta Testers Needed! Volunteer to be the first to go through AI Literacy Fundamentals by @dataliteracycom and book author @dataremixed: docs.google.com/forms/u/1/d/…

Get started on your AI journey... Pre-order AI Literacy Fundamentals by @DataRemixed amazon.com/AI-Literacy-Funda…

If you're looking to learn data science, Twitter is a great resource! Follow these accounts for tips, articles, job listings, and more: Data Science (@datascience) - Tweeting about tips, articles, and general learnings in the field of data science. By @DataRemixed

Huggingface has over 437K AI models hosted on it, including model demos hosted by OpenAI, Google, META, etc. If you're looking to explore the world of AI, here are 7 great apps that you can try out for free: 👇

New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by (i) learning a reward function that mimics human preferences, as expressed in human-provided labels, then, (ii) tuning an LLM to generate outputs that receive a high reward. In this course, taught by Nikita Namjoshi, Developer Advocate for GenAI at @googlecloud, you'll learn the details of how RLHF works, including how to apply it to tune an LLM for your own applications. You'll also use an open source library to tune a base LLM to align with human preferences expressed in a training set, and evaluate the tuned model by comparing its responses before and after RLHF-tuning. Please sign up here! deeplearning.ai/short-course…

Mixtral now in @huggingface! 🤗 Yesterday @MistralAI released their new LLM Mixtral 8x7B, a 45B parameter Mixture-of-Experts (MoE) model that matches @OpenAI GPT-3.5 and @AIatMeta LLama 2 70B ! 🤯 👉 huggingface.co/blog/mixtral Learn more how to train, deploy and more in the blog