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Tip #56: AI Agents π΅οΈββοΈ & Data School news π
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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?βGoogle 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 workflow. More specifically, the LLM dynamically directs the application's processes and tool usage based on its environment in order to accomplish a goal. As this table indicates, there is a spectrum of how much "agency" is given to the LLM: The most advanced AI agents like OpenAI's Operator and Claude's Computer use take over a web browser in order to accomplish a task. However, an application does not need to be fully independent in order to be considered an agent! Hopefully this quick primer on agents will help you to make more sense of the AI advances we'll see in 2025! π€ News #1: My next AI courseMy next course, Build AI agents with Python, will enable you to transform your chatbots into smart, self-directed assistants! It builds directly on my latest course, Build an AI chatbot with Python. I hope to release it in April. Between now and then, I'll only be publishing occasional Tuesday Tips in order to focus my energy on the course. πͺ News #2: Jupyter videoI just published a new YouTube video, Jupyter & IPython terminology explained (5 minutes). It's also available in blog post format. π News #3: Python Challenge finishersLast month, I hosted a project-based challenge for anyone who owns Python Essentials for Data Scientists. I'm excited to present to you the people who completed the challenge:
Congratulations to all of them! π π See you later!If you enjoyed this newsletter, please share it with a friend! - Kevin P.S. Smuggling arbitrary data through an emoji πσ σ σ ₯σ σ σ σ ₯σ σ σ σ »σ σ ¦σ σ σ σ £σ σ £σ σ σ ’σ σ €σ σ σ σ £σ £σ σ σ σ σ σ Όσ σ €σ σ σ σ σ σ σ σ §σ σ €σ σ σ €σ σ ©σ σ ₯σ σ σ σ £σ σ σ ¦σ σ ’σ σ σ σ σ €σ Did someone AWESOME forward you this email? Sign up here to receive weekly Artificial Intelligence tips! |
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Hi Reader, I'm thrilled to announce that my new book, Master Machine Learning with scikit-learn, is now on sale! Buy from Amazon I poured my heart and soul into making this the highest quality and most practical Machine Learning book available. Publishing this book is a dream come true, and I'd be grateful if you'd consider picking up a copy! π Option 1: Get the paperback from Amazon ($19) Although most technical books of this size (300+ pages) tend to sell for at least $39, I've priced the...
Hi Reader, A few months ago, I announced that my new book, Master Machine Learning with scikit-learn, would be published in December. Since then, my personal life has undergone some dramatic changes π₯΄ During the transition, it has been challenging to focus on anything other than bare life essentials π½οΈ π πΏ Thankfully, my life has begun to steady (yay!), and so in the past few weeks I've been able to wrap up some key pieces of the project! β I'm thrilled to hold in my hands the FINAL proof...
Hi Reader, happy new year! π I wanted to share with you the three most important articles I found that look back at AI progress in 2025 and look forward at what is coming in 2026 and beyond. Iβve extracted the key points from each article, but if you have the time and interest, Iβd encourage you to read the full articles! π The Shape of AI: Jaggedness, Bottlenecks and Salients By Ethan Mollick βJaggednessβ describes the uneven abilities of AI: Itβs superhuman in some areas and far below human...