Tutorial 14: Encoder only and Decoder only Transformers in HINDI | BERT, BART, GPT

  Рет қаралды 270

AD Academy

AD Academy

6 ай бұрын

This video is in Hindi Language. Dive deep into the world of Transformer Architecture! 🤖 In this video, we explore three key variations of transformers, breaking down their pros, cons, classic examples of each and real-world applications. Whether you're a student, developer, or AI enthusiast, this guide will elevate your understanding of these powerful models.
🌟 Key Takeaways:
Pros and Cons of each transformer variation.
Practical applications in industry and research.
How to choose the right transformer for specific tasks.
NOTE: If you're interested in learning more about transformers, check out the following videos:
Tutorial 7 - Text Generation with Transformer: • Tutorial 7 - Text Gene...
Tutorial 8 - Understanding Self-Attention in Transformer: • Tutorial 8 - Transform...
Tutorial 9: Understanding Embeddings in Transformer: • Tutorial 9 - Transform...
Tutorial 10 - Multi Head Self Attention in Transformer: • Tutorial 10 - Multi He...
Tutorial 11: Decoder in Transformer: • Tutorial 11: Decoder i...
Tutorial 12: Transformer in brief: • Tutorial 12: Transform...
ABOUT ME:
📝🔍I, Dr. Ayan Debnath, am a Senior Data Scientist at a prestigious MNC. I completed my Ph.D. degree from the Indian Institute of Technology (IIT) Delhi in Data Science in healthcare. I was a former Fulbright Scholar at Harvard Medical School and the University of Pennsylvania. I have a total of 9+ years of experience in the fields of Data Science, AI, Machine Learning, Deep Learning, Statistics, Image Processing, Healthcare, etc.

Пікірлер: 4
@user-yt2ii9fj2w
@user-yt2ii9fj2w 5 ай бұрын
Expecting more videos in Hindi 👍
@user-ob2py8ch7l
@user-ob2py8ch7l 5 ай бұрын
Nice video...please make more such contents
@satishchandragullena3044
@satishchandragullena3044 4 ай бұрын
short and sweet. very informative video👍
@ad_academy
@ad_academy 4 ай бұрын
Thanks Satish… keep watching more such contents to master in this area of NLP, GenAI
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