🤖 Transformers Explained Like You're 5
Building AI systems and writing about how they actually work. Master of AI @ University of Technology Sydney. Previously B.Tech CS with focus on IoT. I believe the best way to learn is to explain. That's why I'm documenting tech concepts with simple analogies (@sreekarreddy.com). AWS Certified • Azure AI Certified • Neo4j Professional • Google Data Analytics When not coding: exploring Sydney, working on side projects, and teaching tech to anyone who'll listen.
Speed readers with strong focus
Day 16 of 149
👉 Full deep-dive with code examples
The Speed Reading Trick
Imagine reading a book the old way:
- Read word 1, remember it
- Read word 2, remember 1 and 2
- Read word 3, remember 1, 2, and 3
- By word 100... you've forgotten word 1!
Transformers read differently:
- Look at all the words together
- Figure out which words matter to each other
- Keep track of the important connections
The Secret: Attention
In the sentence: "The cat sat on the mat because it was tired"
What does "it" refer to?
Transformers figure this out by asking:
- "it" looks at "cat" → Strong connection! ✅
- "it" looks at "mat" → Weak connection
- "it" looks at "sat" → Weak connection
This is called attention - focusing on what's relevant.
Why They're Amazing
Before Transformers:
- AI read sequentially (slow)
- Forgot long-distance connections
- Couldn't parallelize
After Transformers:
- Consider the whole context (fast!)
- Connect any word to any other word
- Runs on GPUs (massively parallel)
What They Power
Many major AI models:
- GPT (Generative Pre-trained Transformer)
- BERT (from Google)
- Claude (from Anthropic)
- Gemini (from Google)
All are Transformer-based!
In One Sentence
Transformers process all words simultaneously while figuring out which words are most relevant to each other.
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