Join 25,000+ intelligent readers and receive AI tips every Tuesday!
Tip #56: AI Agents π΅οΈββοΈ & Data School news π
|
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! |
Learn Artificial Intelligence from Data School π€
Join 25,000+ intelligent readers and receive AI tips every Tuesday!
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, The Python 14-Day Challenge starts tomorrow! Hope to see you there π€ π Tuesday Tip: My top 5 sources for keeping up with AI I'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: The 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...
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...