Скачать или смотреть Transformers, explained: Understand the model behind ChatGPT

🚀 Learn AI Prompt Engineering: https://bit.ly/3v8O4Vt

In this technical overview, we dissect the architecture of Generative Pre-trained Transformer (GPT) models, drawing parallels between artificial neural networks and the human brain.

From the foundational GPT-1 to the advanced GPT-4, we explore the evolution of GPT models, focusing on their learning processes, the significance of data in training, and the revolutionary Transformer architecture.

This video is designed for curious non-technical people looking to understand the complexities of GPT models in a way that's easy to understand.

🔗 SOCIAL LINKS:

🌐 Website/Blog: https://www.futurise.com/
🐦 Twitter/X:   / joinfuturise  
🔗 LinkedIn:   / futurisealumni  
📘 Facebook: https://www.facebook.com/profile.php?...

📣 Subscribe: https://www.youtube.com/@leonpetrou?s...

⏰ Timestamps:

0:00 - Intro
0:27 - The Importance of Modeling The Human Brain
1:10 - Basics of Artificial Neural Networks (ANNs)
2:26 - Overview of GPT Models Evolution
3:34 - Training Large Language Models
7:05 - Transformer Architecture
7:45 - Understanding Tokenization
10:19 - Explaining Token Embeddings
17:03 - Deep Dive into Self-Attention Mechanism
18:53 - Multiheaded Self-Attention Explained
19:55 - Predicting the Next Word: The Process
22:33 - De-Tokenization: Converting Token IDs Back to Words

#llm #ml #chatgpt #nvidia #elearning #futurise #promptengineering #futureofwork #leonpetrou #anthropic #claude #claude3 #gemini #openai #transformers #techinsights