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How I am going to learn AI

 

I have been going through a lot of videos, tutorials, websites to understand AI.

The following video resonated with me.

https://www.youtube.com/watch?v=U07MHi4Suj8






If you want to actually understand large language models- not just use ChatGPT, but genuinely understand how these systems work, how to build with them, and how to stay relevant as this field evolves- this video gives you the exact learning path to follow, step by step.


There are hundreds of LLM courses out there right now. Everyone's got a tutorial, everyone's got a certification. And if you're trying to figure out where to start, it can feel completely paralyzing.


Should you jump straight into prompt engineering? Do you need to understand transformers first? What about fine-tuning? What about agents?


In this video, I break down the 4-step path that actually works- the one that gives you lasting understanding rather than just surface-level familiarity.


The 4 Steps:

  • Step 1: Fundamentals of Machine Learning & Deep Learning
  • Step 2: Understanding Transformers & the Attention Mechanism
  • Step 3: LLM Pre-training, Fine-tuning & RAG
  • Step 4: Applications & AI Agents


Each step builds on the last. Skip the foundation, and the house falls down. This path isn't the fastest, but it's the one that actually works.


Free Resources Mentioned:


Step 1: ML & Deep Learning Fundamentals


Step 2: Transformers & Attention


Step 3: Pre-training, Fine-tuning & RAG


Step 4: Applications & AI Agents

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