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
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!
You said 30 k vocabulary tokens for bert ,when tokenization on numbers like one,two, three.....so on twenty,thirty,fourty,thousand,million,billion,......they add these as the tokenizers right,instead of every each numbers right
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
I think you are asking how Wq, Wv, Wk matrices are generated correct? If that is your question then the answer is they are learnt through a backpropagation during training process. You can refer to Section 3 in the original paper for more details: arxiv.org/pdf/1706.03762
Sir please make a discod server on "co-operative learning" which you have made in "ai engineering". The old server has expired, so plz make a new one and update the link in the ai engineering pdf or inform it by making a 'short' sir.
Folks, here's a link to our bootcamp for learning AI and Data Science in the most practical way: tinyurl.com/395u4mnm
I haven't come across a more simplified explanation of transformers than this. Outstanding teaching style!
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
Thank you so much🥰
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!
Yes the full bootcamp with NLP, GEN AI and Deep learning module will be release on 24th Jan (2025) or before that.
you are a master in simplification and no NOISE explanation.
Simply Amazing! Looking forward for Gen AI Course from you! Please focus on Gen AI Projects and Agentic AI in your course.
So simplified approach. Thank you
Thanks sir.
Really explanatory.
Now I am following your ML videos. Those are also really great.
Really Thank you so much for making this video
very good explanation, i subscribed to the channel and will keep on watching other videos as well
thankyou sir // easy explanation
Very helpful sir ❤
54:37 Amazing!
Very helpful. Does the decoding refer to end user getting prompt responses?
great tutorial
Amazing and outstanding...
Super sir ❤
Very well explained
Sir nlp,deep learning and genative ai is the part of ds foundation bootcamp
Sir can i learn computer engineering online ......is computer engineering is needed in ai or computer science...please reply
Sir, please make a video on the data science roadmap according to 2025, including all technologies like langchain , langgraph
, RAG etc
Noted ✏️ Meanwhile, you can check this video if it is helpful for you: ruclips.net/video/PFPt6PQNslE/видео.html
Sir will your upcoming bootcamp on data science cover full ml, Nlp and Deep learning as well and generative ai?
Yes the full bootcamp with NLP, GEN AI and Deep learning module will be release on 24th Jan (2025) or before that.
Such a complex topic in Gen ai explained like a anyone can understand
When are you adding reinforcement learning
You said 30 k vocabulary tokens for bert ,when tokenization on numbers like one,two, three.....so on twenty,thirty,fourty,thousand,million,billion,......they add these as the tokenizers right,instead of every each numbers right
hey I need help for creating a project which helps convert text to visualisation is there any resource??
Please provide roadmap for data engineer
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
I think you are asking how Wq, Wv, Wk matrices are generated correct? If that is your question then the answer is they are learnt through a backpropagation during training process. You can refer to Section 3 in the original paper for more details: arxiv.org/pdf/1706.03762
@codebasics yes ..thank you for the link...great content btw really helpful..
ye session hindi m bhi ayega kya sir
Sir when can we expect AI ML bootcamp which is similar to Data Analyst bootcamp??
There is Data science bootcamp.
The full fledges AI ML and Data Science Bootcamp will be out on or before 24th Jan
Sir will it cover Nlp and Deep learning as well and generative ai@@codebasics
Must needed
Dada, please share your lecture slide with us. It will be very helpful for us.
Data sciencest roadmap for 2025 sir? When you will upload sir?
Waiting
Sir, can we please expect a full Generative AI course from you?? 🙏🙏🥺
Full Gen AI module will be part of my upcoming AI BootCamp that will be launched on or before 24 Jan, 2025
@@codebasics That is great. Thank you so much Sir. 🙏🏻
@@codebasics sir, will it be free or paid course ?
Sir please make a discod server on "co-operative learning" which you have made in "ai engineering". The old server has expired, so plz make a new one and update the link in the ai engineering pdf or inform it by making a 'short' sir.
No one explain such details
Please break a video into small parts
these deep learning algorithsm dont sound gender inclusive