Join 25,000+ intelligent readers and receive AI tips every Tuesday!
Tip #54: How to keep up with AI in 2025 đź’ˇ
|
Hi Reader, The Python 14-Day Challenge starts tomorrow! Hope to see you there 🤞 👉 Tuesday Tip: My top 5 sources for keeping up with AII'll state the obvious: AI is moving incredibly FAST 💨 Here are the best sources I follow to keep up with the most important developments in Artificial Intelligence: ​ ​The Neuron (daily newsletter)My top recommendation for a general audience. It’s fun, informative, and well-written. It includes links to the latest AI news and tools, but the real goldmine is their article at the top of each newsletter. ​ ​The Batch (weekly newsletter)Four deep, thoughtful analyses of the most important developments in AI this week. Includes commentary from legendary AI researcher Andrew Ng. ​ ​Simon Willison’s blog (also available as a weekly newsletter)Simon is an independent AI researcher and co-creator of the Django web framework. He’s constantly experimenting with the latest AI models, and his analyses are excellent. Start by reading this post: Things we learned about LLMs in 2024. ​ ​One Useful Thing (newsletter by Ethan Mollick)Ethan is a Professor at the University of Pennsylvania. He provides practical advice on the use of AI, as well as analyses of where AI is going. He’s also my favorite source of AI insights on Bluesky. ​ ​Ahead of AI (newsletter by Sebastian Raschka)Sebastian is an AI researcher and the author of Build a LLM from Scratch. His newsletters are useful to those who already know a lot about LLMs and want to keep up with the latest research. Start by reading this issue: Noteworthy AI Research Papers of 2024 (Part One). ​ Honorable mentions:​Understanding AI by Timothy B. Lee: I love his writing on AI and self-driving vehicles, but many of his articles are limited to paid subscribers (such as myself). LLMs explained with a minimum of math and jargon is his most well-known article. ​Am I Stronger Yet? by Steve Newman: I just discovered this newsletter, but his latest article, Are We on the Bring of AGI?, was fantastic. ​ What did I miss? Please click reply and let me know! 👋 See you next Tuesday!If you enjoyed this newsletter, please share it with a friend! 🙏 - Kevin P.S. Increasingly large food. Increasingly small food. ​ Did someone AWESOME forward you this email? Sign up here to receive weekly Artificial Intelligence tips! |
Learn Artificial Intelligence from Data School 🤖
Join 25,000+ intelligent readers and receive AI tips every Tuesday!
Hi Reader, Before today’s tip, I wanted to give you a heads up: Tomorrow, I’ll be launching something brand new! Watch out for the announcement 👀 👉 Tip #53: How to get great results from AI models through prompting In the year after ChatGPT was released, I remember noticing two new trends: Articles about “prompt engineers” being hired for hundreds of thousands of dollars just to write prompts Endless guides promising to teach you the secrets of writing the perfect ChatGPT prompt My takeaway...
Hi Reader, Last week, I encouraged you to experiment with different LLMs, since there’s no one model that is superior across all use cases. Specifically, I suggested you try using Chatbot Arena, which allows you to chat with multiple models at once. It’s completely free, but has two significant disadvantages: Your chats are not private and may be used for research. It lacks the feature-rich interface provided by other LLMs. Today, I want to offer you a better method for experimenting with...
Hi Reader, Over the past 50 tips, I’ve touched on many different topics: Python, Jupyter, pandas, ML, data visualization, and so on. Going forward, I’m planning to focus mostly on Artificial Intelligence. I’m announcing this so you know what to expect, and I know what to deliver! 💌 I’ll also try to make the tips shorter, so that they're easier to digest on-the-go. Finally, I plan to include an “action item” each week, so that you can practice what you’re learning. I hope you like these...