Ready to learn everything about the Metadata Catalogue? 🎥 In our latest tutorial video, we’ll guide you through how to use this tool to simplify your #AI research workflow. Learn step-by-step how the unified metadata schema helps you search, connect, and integrate AI assets across platforms. Have fun! 👇 https://lnkd.in/dipU7SBj 

In this 93rd episode of CityClips Live, Joseph Petty shared his personal take on AI, encouraging users to adopt the right mindset by using it as a learning resource rather than a shortcut for quick solutions. He also highlighted some of his favorite AI tools that have helped him in generating code. Streamed on Aug. 20, 2025 Full episode: https://loom.ly/4ewjMxU Learn more about JHC: https://loom.ly/AAM-FXY #talentliveshere #tlhcreatives #cityclips

The inimitable Lee Robinson just launched the first 6 parts of Cursor Learn, one of the best and most thoughtful primers I've seen for using AI to be more effective as a programmer. Strongly recommend taking an ~hour to give it a runthrough this week, whether you're new to AI coding or already an expert. Let us know your thoughts and tell us what you're building! https://cursor.com/learn

If you’re starting with AI in development, this course is a great foundation to learn the basics and start building real applications with AI editors.

I no longer have the time nor the skill to write significant code. (Not that I ever had that much skill.) However, I am amazed by tools like Cursor and recently came across this post by Lee Robinson and found it to be a fascinating tutorial on using AI to help you code. I feel if you are not learning how to use tools like this as a software developer today you are getting left behind.

When working with Machine Learning models, tuning can make the difference between a model that just "works" and one that performs exceptionally well. The secret lies in hyperparameters. Think of hyperparameters as the dials on a music system 🎛️📻 Tune them right → crisp sound. Tune them wrong → noise. In machine learning, hyperparameters decide: • How fast a model learns, • How deep a network should go, • How to balance accuracy vs. overfitting, …and much more. I have broken down the key hyperparameters every beginner should know (swipe 👉 through to explore). If this helped, follow me for more AI & ML made simple posts! #hyperparameters

From AI frames to a finished reel. Experimented with image-to-video AI tools using a catalogue image and brought it all together in Premiere Pro. Crazy how real some of these AI-generated frames look — shoutout to Anusua Chatterjee for the AI insights and tips.

🚀 𝗔𝗿𝘁𝗶𝗳𝗮𝗰𝘁𝘀 - 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 '𝟮𝟱 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 In this issue: 💡 Tips for AI Learning tracks and recommended reads 🧠 Head-First Friday (my method to strengthen my own thinking without AI) 🦀 Rust Design Patterns with code examples 👉 Link in comment #AI #RustLang #AILearning #SoftwareEngineering #AIOps

most people use ai like a search engine. power users use it like a strategy tool. this post breaks down 5 prompting techniques that quietly level up your results: role stack: combine expert perspectives in one prompt chain link: break big tasks into connected steps refinement loop: iterate instead of settling for the first answer output blueprint: give it formatting instructions context layering: set the scene before you ask save this post and test one in your next ai session. #promptengineering #chatgpttips #aiprompting #quietgrowth #workflowdesign #aiforcreators #openai #productivitytips #futureofwork #smarterwithai

💡 I put together a quick example showing how vibe coding using AI to copy code without understanding can turn your project into a black box and get you stuck midway. The key? 🔑 Know the fundamentals and use AI smartly. Here's a quick view