Going all in on mastering AI using this syllabus:
1⃣ Understanding AI (theory)
2⃣ Using AI tools (OpenClaw, Cursor)
3⃣ Building AI tools (software + LLMs)
4⃣ Building AI Models (training, fine-tuning)
5⃣ AI Research (mastery)
Let's see how far I get this year!
Yann LeCun explaining how LLMs work:
1. Self-supervised learning: The model learns patterns in text by predicting missing or masked tokens.
2. Next-token prediction: Given the tokens that came before, the model predicts what token is most likely to come next.
3. Probability distribution: The model assigns probabilities to possible next tokens, then uses those probabilities to generate text.
It always amazes me how someone who has truly mastered their field can explain something so incredibly complex in such an intuitive, simple way.
watch how Yan LeCun breaks it down, then continue on with the AI literacy roadmap below
Google has great resources for the AI beginner, like this introduction to machine learning:
0:48 - Why is machine learning important?
1:23 - How is machine learning used today?
2:32 - Where is machine learning headed?
4:03 - How training and inference works
in just a few minutes, you can get an overview of the basics of machine learning and how it works
I personally think this is a much better place to start than jumping straight into prompting and AI tools
watch this, then read my guide below on what else you should know to become AI literate
The University of Illinois actually open-sourced its entire AI Literacy curriculum:
0:44 - The basics of AI
1:23 - A brief history of AI
3:27 - Familiar AI systems
4:37 - Generative AI
5:05 - Comparison of AI, ML, Deep Learning, GenAI
5:56 - How GenAI has changed over time
It's pretty basic, but I found it to be a great primer and intro to the world of AI for the uninitiated.
Watch the clip, then learn the full AI literacy roadmap from the article below!
Just saw this on NBC Today:
"...a third of employers that were surveyed by LinkedIn say that they will be looking at employees' AI literacy as part of their job performance or as hiring criteria..."
The interview was just 4 minutes long, but it shows that AI literacy has become a workplace expectation, not just a technical skill
watch the clip, then read my guide below on what you actually need to know to become AI literate
freeCodeCamp recently dropped a 1-hour masterclass on the foundations of AI for absolute beginners:
00:00 - Welcome To The Course
01:46 - Prerequisites
03:19 - Lesson 1: What is AI
09:06 - Lesson 2: The Key Parts of Machine Learning
17:20 - Lesson 3: How Do Machines Train
39:07 - Lesson 4: Can Machines Be Responsible
watch the whole thing, then read up more on AI literacy in the article below
Going all in on mastering AI using this syllabus:
1⃣ Understanding AI (theory)
2⃣ Using AI tools (OpenClaw, Cursor)
3⃣ Building AI tools (software + LLMs)
4⃣ Building AI Models (training, fine-tuning)
5⃣ AI Research (mastery)
Let's see how far I get this year!