From past 3 months I'm giving interview for Genrative AI and let me share some most common interview question that I'm getting asked. 1. Explain the transformer architecture. 2. How you fine tune an open source model on a custom dataset. 3. What is self attention. Why this really works? 4. What are embeddings, how we create this. 5. How to reduce the 70B paramter model to 8B parameters. 6. What metrics we use to evaluate the performance of fine tuned models. 7. Quantization techniques 8. What is Multihead Attention and cross attention. 9. What are the challenges while finetuing a model, what strategies can be employed to overcome. 10. Regularization techinques like - Dropout, label smoothing, weight decay. 11. What loss functions we use in case of NLP models training.
Thanks for this sir. exactly that i wanted to my interviews on the head. the ebook will help me out to stand out in the interviews. so i am interested sir.
Outdated training data is also a problem Rag can solve no ? For example for generation of python code LLM, there might be a new library that optimizes performance that came up after the finetuning of model and this can be added through rag
I am starting new in IT, so what do you recommend should I go for data engineer or software development? Please shed some light on salary and scope as well. I really appreciate your guidance.
Sir could you please guide me how can I switch to data analyst after teaching. Should I take up the course from any learning platform or go for various certification?
Hi, I’m Victor. I specialize in helping instructors succeed through tailored consultancy, coaching, and hands-on training. If you're looking to promote your Udemy course, I can assist you in reaching a wider audience through strategic social media marketing, compelling content, and access to our vibrant community of learners. when will you be available so as to share with you my portfolios and we can get started. best regards, Victor
Check the last shorts to get the ebook 😀
Where is the link sir?
Please share ebook Sir
From past 3 months I'm giving interview for Genrative AI and let me share some most common interview question that I'm getting asked.
1. Explain the transformer architecture.
2. How you fine tune an open source model on a custom dataset.
3. What is self attention. Why this really works?
4. What are embeddings, how we create this.
5. How to reduce the 70B paramter model to 8B parameters.
6. What metrics we use to evaluate the performance of fine tuned models.
7. Quantization techniques
8. What is Multihead Attention and cross attention.
9. What are the challenges while finetuing a model, what strategies can be employed to overcome.
10. Regularization techinques like - Dropout, label smoothing, weight decay.
11. What loss functions we use in case of NLP models training.
@@harshitdubey8673 Amazing, it would help others for sure ✌️
Awesome.. Thanka a lot
Nice Video. Intrested for the Ebook.
Very helpful....
Intrested for the Ebook
@@moodyFC check latest shorts, ebook link is provided
Great question with simplified answer, please make a video on RAG i.e. what are the real use case of RAG and what problems it will solve.
Thanks for this sir. exactly that i wanted to my interviews on the head. the ebook will help me out to stand out in the interviews. so i am interested sir.
sir, are you providing ebook link in the description ?
Need the copy🙏🏻
Great work. Interested in eBooks. Please share with me . Thanks
Dedicated videos would be appreciated thankyou
Hi satyajit join ur course later 🎉
Outdated training data is also a problem Rag can solve no ? For example for generation of python code LLM, there might be a new library that optimizes performance that came up after the finetuning of model and this can be added through rag
Interested in Ebook
Please make a detailed video on interview questions and answers in RAG rekated answers
@@srinivas2100 yes planning to do a detailed video soon
I am starting new in IT, so what do you recommend should I go for data engineer or software development? Please shed some light on salary and scope as well. I really appreciate your guidance.
@@Duke-m4v be open for both, salary wise both are well paid
Sir could you please guide me how can I switch to data analyst after teaching. Should I take up the course from any learning platform or go for various certification?
@@khushboorawat4454 you can take my course or if you want to discuss, you can ping me on whatsapp +918237040802
Sir can you please share ebook I need it for my interview I believe it will be really helpful.
@@shreesai635 check pinned 📌 comment
sir where is resources link? waiting from since you announced ?
@@AIWALABRO in next 2/3 days
Waiting for you r machine learning and Deep learning course sir 🙏on udemy? Do you have generative AI course🙏?
@@bp2807 yes on udemy available
www.udemy.com/course/mastering-generative-ai/
Interested
Interested in ebooks
Interested, kindly share.
Need the Ebook 😊
Interested in eBook
Interested in ebook of GenAI interview questions answers
Interested for the EBook
Please please please the ebook
@@FGNiniSun in 2 days for sure
how to get the ebook....not able to find
@@poojaprasad8044 unfortunately its not yet ready, we are working hard to add more and more questions and try to make it public in few days!!
intrested in Ebooks
Interested in ebook
Interested in ebook of GenAI interview questions answers, how I can get it?
@@farhandhanani791 i will publish it soon
Interested in E-books 🤖
Interested in Ebooks
Interested in e book
INTERESSTED IN EBOOK - GEN AI Q&A
Need a copy please
Sir i need Industry level Used Case in Gen AI, I am 14+ yrs exp
interested for e-book
interested for Ebook
need copy
Hi, I’m Victor.
I specialize in helping instructors succeed through tailored consultancy, coaching, and hands-on training. If you're looking to promote your Udemy course, I can assist you in reaching a wider audience through strategic social media marketing, compelling content, and access to our vibrant community of learners. when will you be available so as to share with you my portfolios and we can get started.
best regards,
Victor
intrested in Ebooks
Interested in ebook
Interested in ebooks