Any direction on building stronger quality and governance frameworks- the one you are discussing, in and around AI initiatives?

How do we obtain the source data and can we read/extract data from pdf files the same way?

How difficult is it train the open source model on premise with domain specific data such that it approaches the proprietary model in accuracy. Obviously would depend on the use case, however, would you say it is certainly doable to take an open model, train it in a specific domain and get a result (at least within that specific domain) that is significantly better than the proprietary model? Is there a yardstick benchmark that would allow a business to identify which open model may be best for various internal use cases so that business owners can make more informed decisions on which model to invest their time in to create value?

the code walkthrough of exactly how this works is amazing. The most clear and concise I have seen so far

Thank you!

Thank you🙏

I watched the entire playlist within 2 days, really loved your content!

Awesome demo nothing beats a good hands on real world example!

Brilliantly explained thanks

I would have loved to see you emphasize the fact that LLM is being used as an agent and that that’s what makes Agentic AI so powerful. I wonder why creators of videos like these don’t stress or repeat that key aspect when trying to explain a new concept!

Many thanks for this brilliant video! Could you please tell me, what kind of glass whiteboard you're using?

Very good explanation. Thanks a lot!

You're a master in explaining well. Not too short, not too long. Many thanks from Germany!

Very well explained👍

Amazing video. Thank you sir .

Awesome! Well explained 👍

You are a great explainer and I recommend you to learners

Very interesting! Many thanks for sharing!

Can we have the codes for the is demo?

great explanation

Thank you for creating this video series! The content is incredible and has made such a positive impact on my AI education journey. I’ve learned so much from your explanations, and the way you break down complex topics is making a huge difference. I truly appreciate the effort you put into this-looking forward to the next video! Keep up the amazing work!

I learn something useful in every one of your videos.

It is so well put togther and presented. Thank you so much :)

One of the best and simplest explanations of RAG I've come across, clear and easy to understand for tech and engineering professionals. Thank you so much for sharing this insightful AI content!

Very informative. I have a question though. I am working on a chatbot with RAG architecture to handle repetitive questions or tasks. Most of the use cases are administrative or simply public data from the website (e.g. is parking available). However, I need to make sure I can "redact" any PII/PHI from the user input. How do you suggest I approach that?

when knee surgery is tomorrow

To Grok: Pose one question (the same question) to 9 different AI Systems. Using them all to group think of the solution, what is my probability of having the most appropriate/right/correct answer? Answer: The probability of getting the most appropriate answer increases with the number of AI systems you consult, especially if their methodologies vary. However, this approach might not always yield the "correct" answer in fields where subjectivity or complex reasoning is involved, but it will certainly increase the confidence in the answer by providing a broader consensus or highlighting areas where there's significant disagreement among systems, which can itself be informative.

Easy to understand content, thank you

Thank you so much

Thanks for the video! It’s great to see how the RAG really works. I understand that RAG is quite good at organizing answers with text. How about replacing the CSV files with large Excel sheets and needing answers from different columns in the same row? Will the RAG perform well in that case? I find that while the response is often correct, sometimes it jumps to different rows and makes up answers. What is your take on using Excel sheets as documents for RAG?

that was the best explanation I have seen so far! Thank you very much!

I have been watching lot of courses, but the way you simply explains with giving real life examples, is something unique to you, Icing on the cake is your clear British accent and communication skills. Way to go!

This was so clear. Thank you!

Thank you Professor!

Thank you Don for this video. I have watched a few of your videos and found them to be at the right level of detail and practical. I am not from healthcare but the information shared is transferable to other industries.

You explained it very well even for an audience already from ML/NLP background.

Thank you so much. You make it very easy to understand! 😊

So, what's the solution?

Greatly explained. Quality content. Thank you very much!

Fantastic Simple and lucid. You are a wonderful teacher

You are just great, as you know your subject and you have the will to elucidate us. Many thanks and all the best!

Could the vector database be responsible slow response? I am using hugging face and the response time is like 5 minutes

That's the best lesson of leadership I've ever seen. You managed to quantify it and make it concrete. I would be more than happy to see it adopted at all leadership levels. Thank you very much.

excellent topics and nice explanation...we are very thankful

Excellent

Thank you Don , wonderful explanation..

Great video. Appreciate your work!

I see so many use cases

Option 2 I think

10:18 wasnt confusing at all, your diagram was very helpful sir