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4 contributions to AI Bits and Pieces
✨ AI Terms: Large Language Models (LLMs)
Level: Foundational Category: AI System Categories This term introduces the major categories of AI systems and what they are designed to do in practical use. 🪄 Simple Definition: A Large Language Model (LLM) is an AI system trained to understand, interpret, and generate human language. 🌟 Expanded Definition: LLMs are built using deep learning and trained on massive collections of text. This enables them to recognize patterns, understand context, and produce writing that feels natural and human-like. Examples include ChatGPT, Claude, Gemini, and Grok.LLMs can summarize documents, answer questions, write content, support research, and assist in decision-making.They don’t “think” like people—they generate responses based on statistical patterns learned during training. ⚡ In Action: You type: “Draft a follow-up message for customers who missed their service appointment.” The LLM produces a polished, professional message in seconds. 💡 Pro Tip: Clear instructions produce stronger results. Define the role, purpose, tone, and audience to guide the model effectively. This term is part of the Classroom Course - AI Fundamentals
3 likes • 3d
Daily dose of Ai terms received 🦾 see you tomorrow @Michael Wacht
💎Prompting: The Foundation for Unlocking Real AI Power
A 5-Part Series on Prompting, Iteration, and Finding Your Own AI Rhythm We talk a lot about AI tools— Models. Apps. Updates. But beneath all of it, there’s one thing that quietly connects almost everything in modern AI: 💎 Prompting. Not as a trick. Not as a hack. But as the foundation—the way we communicate intent, context, and direction to AI. 💎 Prompting — often taken for granted, yet once refined, it unlocks real AI power. Over the next few posts, I’m kicking off a 5-part series called: 💎 Prompting: The Foundation for Unlocking Real AI Power We’ll explore: - Why prompting shows up everywhere, no matter the tool - Why iteration (not perfection) is the real superpower - Why some AI tools feel intuitive while others don’t - How prompting naturally enables us to expand from simple use to workflows and systems - And why there is no single “right” path when learning AI This series will reveal how such a simple act can unlock so much real capability. For the complete Series articles, visit: Series Hub ✨ AI Bits & Pieces — helping people and businesses adopt AI with confidence. Image created using “prompts” with ChatGPT.
💎Prompting: The Foundation for Unlocking Real AI Power
3 likes • 7d
@Michael Wacht great subject you’re picking! Often underlook and not considered enough! Especially in n8n, prompting still is what makes an automation solid and precisely how we envision it, I believe 💯 looking forward to it
Snap Poll: What Email Platform Do You Use Most?
Real quick question — what email platform do you mostly use? I’m shaping upcoming classroom content and want the examples to line up with how you really work, not just theory. Thanks for taking a second to vote 👍
Poll
34 members have voted
1 like • 8d
Definitely Gmail 😎
The 1% Method -> small steps, big impact - my motivation for 2026
Sometimes it is the little things that truly move us. Over the past weeks I met someone really inspiring. Someone who kept motivating me. Someone who showed me that progress doesn’t always have to be loud, fast or spectacular. One idea especially stuck with me: The 1% Method Not trying to change everything at once. But becoming just a little bit better every single day. Consistently. Step by step. And that will be my motivation for 2026. Stay committed.Keep learning.Keep growing even if it is just 1%. Thank you, Misel. This really had to be said. My first 1% für today is learning GitHub for a better understanding
The 1% Method -> small steps, big impact - my motivation for 2026
1 like • 18d
The power of consistency 🦾
1-4 of 4
Mattia Parola
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12points to level up
@mattia-parola-3519
Robotics

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