2.3M
ITThe stages of AI explained. The last one changes everything—for better or worse
@itsemilyhiggins
#Artificial Intelligence Basics
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FUI spent 100 hours on this and I hope this makes AI easier to understand and less scary for you 🫡
What you’ll learn in this video:
1. The types of AI
2. How AI is created
3. How AI becomes biased
4. How AI generates text
5. How AI generates images
6. The energy cost of AI
7. A brief history of AI
If you have more questions or feedback, please share them in the comments. Follow @futurewithfawzi on IG and YouTube for more AI explainers! and yes, these were drawn by me and not AI 😂 #deepseek #ai #artificialintelligence #tech #openai #microsoft #google #nvidia #technology
@futurewithfawzi
155.7K
DA99.9% of people in the world still don’t know how to use AI. This is the first step to learn how to get better results from it.
@danmartell
90.4K
FUThe most important AI concepts explained in 8 minutes! All visuals are 100% hand-drawn ✍️ #ai #artificialintelligence #aiexplained #technology #techexplained
@futurewithfawzi
409.6K
ATAI basics - Part 1 where I cover what is AI ? what is generative AI ? Common use cases. #keepgrowing #levelup
@atul.aicoach
22.9K
THAI is going to replace you, unless…
#fyp #ai #startup #taste #agency #tech #content
@theempirelabs
15.4K
AO🚀 Welcome to Day 1 of 100 Days of AI Learning! 👩💻✨
If you’re curious about Artificial Intelligence but feel overwhelmed by jargon—this series is for YOU. 🎯
Today we’re answering: What is AI?
🧠 AI (Artificial Intelligence) is the simulation of human intelligence by machines. From voice assistants like Siri, to Netflix’s movie recommendations, to facial recognition in your phone—AI is everywhere. It’s all about training machines on massive datasets so they can spot patterns, learn, predict, and make decisions like a pro.
👋 If we haven’t met before, I’m Dr. Meghna Asthana—with nearly a decade of hands-on experience in AI & Machine Learning at top academic institutions in London and Cambridge, and AI startups across Europe and Asia. Now I’m breaking it ALL down into digestible, daily pieces—just for you. 🎓💡
📚 Whether you’re an AI beginner, tech professional, product manager, or startup founder, this 100-day journey will give you the confidence to speak about AI intelligently in meetings, pitches, or everyday conversations.
✨ FOLLOW me @aotc_ai for your daily dose of AI knowledge
👍 Like this video if you learned something new
🔁 Save & share if you’re building your AI fluency
💬 Drop a “Day 1” in the comments if you’re joining the 100-day challenge!
📌 Tag a friend who should start learning AI with you!
#AIExplained #ArtificialIntelligence #WhatIsAI #AIForBeginners #100DaysOfAI #AIlearning #TechExplained #LearnAI #AIEducation #WomenInAI #MachineLearningBasics #DailyAI #FutureOfTech #AIinPlainEnglish #aotc_ai
@aotc_ai
77.7K
AN👇🏼Comment TECH STACK to get my free guide (and make sure you’re following me, guide is for my followers only)👇🏼
👏 STOP 👏 USING 👏 CHATGPT 👏 FOR 👏 EVERYTHING!
Here’s the thing most people get wrong about AI: they think one tool can do it all. But just like you wouldn’t hire a copywriter to do your accounting, different AI models excel at different tasks.
At my agency @luminacreative.co we’ve tested DOZENS of AI tools and landed on a core stack that actually works.
After running hundreds of projects and managing teams up to 24 people, I’ve learned that the right tool for the right job saves hours of admin and delivers the best results.
Here’s our daily AI stack inside Lumina:
✔️ ChatGPT @openai
Best for strategic thinking and real-time problem solving. We use it to map site flows, work through complex decisions, and organize deliverables during Web Sprints. It’s like having a strategic co-pilot that can reason through messy situations.
✔️ Claude @anthropicai
My copywriting secret weapon. Superior at maintaining tone of voice and handling long-form content. Wayyy better and understanding nuance with TOV compared to Chat, generates copy that sounds human and on-brand.
✔️ Perplexity @perplexity.ai
Research, simplified. Perplexity pulls real-time info from the internet, making it more current than ChatGPT, which is trained on older data and isn’t connected to the live web. We use it to source industry language, competitor context + strategic insights, all with proper citations.
Choose the right tool and watch your efficiency skyrocket while your output quality BLOWS UP 🔥
Also s/o to @jimcarterthethird who has taught me EVERYTHING I know about AI! 🐐🐐🐐🐐
AND…. for the love of god, train your AI to not use em dashes in your copy. PLZ.
👇🏼Comment TECH STACK below for my complete guide on all the tools we use DAILY 👇🏼
@annadoingthings_
142.8K
JEcomment “data” for full YouTube tutorial on how I built a LinkedIn Data Analyst AI Agent in 6 MIN!
84% of people have NEVER used AI. What level are you on??
Level 1 LLMs (You prompt, it responds): Claude, Gemini, and ChatGPT are fluent in language tasks, but they only predict based on your input. They don’t have awareness once you close down the chat window.
Level 2 Agents (It works alongside you): Cursor, Zapier AI Agents, n8n, GitHub Copilot, and Claude Code. These combine a language model with real tools like browsers (Notion, Google Sheets, Slack, and more). You’re no longer in every loop.
Level 3 Agentic AI (It works without you): ManusAI, Gemini Deep Research, Claude Research. These run in a continuous loop. One prompt, full output with no hand-holding required.
Agents are reactive to your process, while agentic systems are autonomous.
That distinction changes what’s actually possible!
@jessramosdata
611.8K
TIHave you heard of autonomous artificial intelligence? This tool allows you to play with it without having to integrate it into your code (up until this tool you would typically have to have some coding knowledge)! There are so many interesting repositories using this technology to build agent Ais that “work for them”. This is a good way to experience what is possible too. And use it to help you with so many tasks.
#stem #tech #artificialintelligence #ai #coding
@tiffintech
326.3K
ME5 AI skills that no one talks about:
1. AI API usage
Using ChatGPT on the website is the new “knows how to Google things.” Companies need people who can build AI into how the team works. That gap is where the jobs (and a 56% wage premium) are.
How to start: Anthropic and OpenAI have copy-paste starter code in their docs. No dev experience needed.
2. AI workflow automation
Everyone has a ChatGPT subscription. Almost nobody has AI baked into how their team actually operates. Make.com, Zapier, and n8n connect AI to tools you already use, no code required.
How to start: Make.com is free. Build one automation and put it on your LinkedIn.
3. Understanding RAG
RAG makes AI know *your* business (your docs, policies, data) instead of guessing from general knowledge.
How to start: Search “RAG explained” on YouTube. Goal isn’t to build it, just to recognize it.
4. Structured prompt engineering
Not “write better prompts.” But templates and repeatable systems. Something your whole team can use without you explaining it every time. The person who builds that shapes how work gets done.
How to start: Document the prompt structure you use for your 3 most-used tasks. Share it with your team. That’s an asset.
5. AI tool evaluation
500+ tools, confused budgets, bad decisions. The person who can test tools against real use cases and give leadership a clear answer is immediately valuable. This role lists at $120K to $150K+.
How to start: Test 3 tools on the same tasks for two weeks. Share your analysis on LinkedIn.
You don’t need to master all five. Pick two and spend three months actually getting good at them.
Save this for later and follow me @meglovesdata for more AI and career tips like this one 💕
@meglovesdata
1.2M
NAHow AI works, using very simple words.
The other day my mom asked me how ChatGPT works. So I made this video for her, and everyone else. I hope you like it.
Thank you to @tiiuae for helping us all understand how AI works.
@nasdaily
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