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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, Most of us access Large Language Models (LLMs) through a web interface, like ChatGPT or Claude. Itβs highly convenient, though there are two potential drawbacks: Cost: Some amount of usage is free, but heavy usage (or access to premium models) costs money. Privacy: Depending on the service, your chats may be used to train future models. (Or at the very least, your chats may be accessed if ordered by a court.) One solution is to run an LLM locally, which has gotten much easier with...
Hi Reader, Here are your top AI stories for the week: AI-driven education in 2 hours per day Add yourself to an AI-generated TV show AI models send "subliminal messages" to one another Read more below! π Sponsored by: Superhuman AI Find out why 1M+ professionals read Superhuman AI daily. AI won't take over the world. People who know how to use AI will. Here's how to stay ahead with AI: Sign up for Superhuman AI. The AI newsletter read by 1M+ pros. Master AI tools, tutorials, and news in just...
Hi Reader, In this weekβs tip, Iβll be breaking down some highly practical advice for taking full advantage of the capabilities of todayβs AI models. Check it out below! π Todayβs tip is based on Ethan Mollickβs excellent article, Using AI Right Now: A Quick Guide. I recommend reading the whole thing if you have time, but if not, Iβve pulled out some important quotes from the article and added my own commentary: For most people who want to use AI seriously, you should pick one of three...