Transformers Explained | Simple Explanation of Transformers

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Transformers is a deep learning architecture that started the modern day AI bootcamp. Applications like ChatGPT uses a model called GPT which is based on the transformer architecture. In this lecture, we will understand transformer architecture in a most intuitive and simplified manner.

⭐️ Timestamps ⭐️
0:00 Intro
1:48 Word Embeddings
9:13 Contextual Embeddings
12:12 Encoded Decoder
19:52 Tokenization Positional Embeddings
23:29 Attention is all you need
42:25 Multi-Head Attention
51:41 Decoder

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I haven't come across a more simplified explanation of transformers than this. Outstanding teaching style!

DesiHorrorShow
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I have to say I understand transformers. But when I saw this, I was like wow. The way you described it felt like a breath of fresh air. If people ask me to explain I will just send them here

franktfrisby
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Your bootcamp on ML and DL is just fantastic! Eagerly waiting for similar bootcamp for NLP too. Please release it as soon as possible.
Thank You for helping the Data Science learners with cost effect, easy to understand and the best animated course modules!

senthilkumar
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you are a master in simplification and no NOISE explanation.

DataPyar
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Simply Amazing! Looking forward for Gen AI Course from you! Please focus on Gen AI Projects and Agentic AI in your course.

dataacademy
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Thanks sir.
Really explanatory.
Now I am following your ML videos. Those are also really great.

omsudhakar
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Really Thank you so much for making this video

vm
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very good explanation, i subscribed to the channel and will keep on watching other videos as well

deepakdeore
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Very helpful. Does the decoding refer to end user getting prompt responses?

michaeld
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Sir nlp, deep learning and genative ai is the part of ds foundation bootcamp

GHATAKYEARYT
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Sir can i learn computer engineering online computer engineering is needed in ai or computer science...please reply

SimonRiley-tj
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Sir, please make a video on the data science roadmap according to 2025, including all technologies like langchain, langgraph
, RAG etc

harshitjhamb
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​Sir will your upcoming bootcamp on data science cover full ml, Nlp and Deep learning as well ​ and generative ai?

bp
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Such a complex topic in Gen ai explained like a anyone can understand

sanskarkhandelwal
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When are you adding reinforcement learning

atharvsardesai
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You said 30 k vocabulary tokens for bert, when tokenization on numbers like one, two, on add these as the tokenizers right, instead of every each numbers right

jeyak
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hey I need help for creating a project which helps convert text to visualisation is there any resource??

aryanshah
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Please provide roadmap for data engineer

Aditya-tbe
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Thanks for the video buddy ..very useful .. still little unclear on how W - q, k, v vectors are generated . Any material recommendations to understand that part

marunthishful
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Sir when can we expect AI ML bootcamp which is similar to Data Analyst bootcamp??

saikrishnapavan