What are Transformers, and why did they revolutionise AI?
In this video, I break down Transformer architecture in simple terms, from the groundbreaking Attention Is All You Need paper to self-attention, encoder-decoder models, and decoder-only architectures like modern LLMs.
If you want to truly understand how today’s AI models like ChatGPT became possible, this video gives you a deep but beginner-friendly explanation.
In this video, you’ll learn:
✔ What Transformers are and why they replaced older architectures
✔ Self-Attention explained simply
✔ Encoder-Decoder architecture
✔ Decoder-only models (like GPT)
✔ Different types of Transformer architectures
✔ Why Transformers power modern AI and LLMs
Perfect for:
AI beginners
Software engineers
Students
Anyone learning LLMs or modern AI systems
Topics Covered:
Transformer Architecture
Self-Attention
Encoder Decoder
Decoder Only Models
#Transformers #SelfAttention #LLM #ChatGPT #ArtificialIntelligence #MachineLearning #DeepLearning #AIForBeginners
