Hi Reader, The Python 14-Day Challenge starts tomorrow! Hope to see you there π€ π Tuesday Tip: My top 5 sources for keeping up with AII'll state the obvious: AI is moving incredibly FAST π¨ Here are the best sources I follow to keep up with the most important developments in Artificial Intelligence: β βThe Neuron (daily newsletter)My top recommendation for a general audience. Itβs 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. β βThe Batch (weekly newsletter)Four deep, thoughtful analyses of the most important developments in AI this week. Includes commentary from legendary AI researcher Andrew Ng. β βSimon Willisonβs blog (also available as a weekly newsletter)Simon is an independent AI researcher and co-creator of the Django web framework. Heβs constantly experimenting with the latest AI models, and his analyses are excellent. Start by reading this post: Things we learned about LLMs in 2024. β βOne 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. Heβs also my favorite source of AI insights on Bluesky. β βAhead 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). β Honorable mentions:βUnderstanding 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. βAm I Stronger Yet? by Steve Newman: I just discovered this newsletter, but his latest article, Are We on the Bring of AGI?, was fantastic. β What did I miss? Please click reply and let me know! π See you next Tuesday!If you enjoyed this newsletter, please share it with a friend! π - Kevin P.S. Increasingly large food. Increasingly small food. β Did someone AWESOME forward you this email? Sign up here to receive weekly Artificial Intelligence tips! |
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Hi Reader, This week, I've got a short tip about AI agents, followed by some Data School news... π Tip #56: What are AI agents? Google is calling 2025 "the agentic era," DeepLearning.AI says "the agentic era is upon us," and NVIDIA's founder says "one of the most important things happening in the world of enterprise is agentic AI." Clearly AI agents are a big deal, but what exactly are they? Simply put, an AI agent is an application that uses a Large Language Model (LLM) to control its...
Hi Reader, Last week, I launched a brand new course: Build an AI chatbot with Python. 120+ people enrolled, and a few have already completed the course! π Want to join us for $9? π Tip #55: Should you still learn to code in 2025? Youβve probably heard that Large Language Models (LLMs) are excellent at writing code: They are competitive with the best human coders. They can create a full web application from a single prompt. LLM-powered tools like Cursor and Copilot can autocomplete or even...
Hi Reader, Before todayβs tip, I wanted to give you a heads up: Tomorrow, Iβll be launching something brand new! Watch out for the announcement π π 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 βprompt engineersβ 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...