Thank you Sir. Great explanation!

awesome explanation

Great video, easy to follow, highly informative. Thanks!

I was expecting something practical. But this is really helpful

Great demo and explanation . Thank you for sharing the knowledge !

Awesome knolage and presentation. Very usable.

Hello Don, how would we evaluate and improve such model?

can you share the notebook and the dataset?

hi sir can i get this code to replicate on my jupyter notebook

WOW, No better explanation then yours!

Could you please not use subtitles? 1. They’re making us weaker mentally. 2. There is already a subtitles capability built into KZfaq. I’m having to put a sticky note over the bottom of the screen to remove the distraction. Thank you.

This will simplify the "RAG" stuff -> take a general language model like GPT, Gemini, Llama, and tailor it to answer only things you care about -> sports scores, latest movies, celebrity gossip etc. -> by feeding the model your own data. Data can be real time like from a news website that offers an API or some textbook that is in PDF format.

Lovely video. Thank you very much. You mention two elements of the "prompt before the prompt" - the scenario + custom content before the question. can you say a bit more on the first element of how the "scenario" is generated? is it completely manually done or is there anyway to get some templates for that?

Extremely good and simple to understand. This is my first comment to share from ages

What a nice and smooth explanation. Thanks Don

👏 new subscriber here

Thank you sooo much for all the amazing content!

Awesome explanation, with real-time example

Thanks fir great explanation

I appreciate you immensely! Awesome concise clear information. I really hope you continue to make available content like this.

You made my demo remarkable, I explained my audience easily ❤❤❤❤❤❤

Awesome , Thanks ❤

Real good one!

Gag is rag that is "Gondom Food" the Bebe Hawa gave Hrad Adom

Best RAG explanation I think. Thanks.

Thanks DON! for this outstanding use case of the GENAI. Kindly make more videos on Gen AI applications in different domains as well. Make playlist about use cases of Neural Networks(DL), ML, CNN, RAGS, Transformers also. You way of teaching enables me to think in a critical way! Thanks for making more videos relating to use cases.

Thank you Don! The explanation was delightful <333

Hello Sir! Could you make videos on: what’s a transformer and what’s Langchain? Also videos on how to check the accuracy of gen AI use cases like summarizing, extracting features, etc would be very helpful. Thank you very much for your time.

How can we use a csv file with multiple fields as the prompt may require to evaluate all fields and answer the best one.

such a good explanation, thank you so much!!

Great video very well explained. Do you also have a video on how to download a website into a CSV?

Wow, Thank You

Thank you very much for this great presentation. Tomorrow I will use this video to describe in a few minutes to the decision-makers in my company what this RAG means. Many simply do not yet understand the simplicity behind the pattern and therefore the possibilities I find it difficult to present it in such simplicity Thank you very much🙂

This was by far the most useful video I have seen in a while on AI topic, well done everybody

Unbelievable content. Couldn't have been any simpler than this. Thank you so much.

Awesome video! It helped explain the concept a great deal. well done👍

Thanks Don, it's very useful and an out-of-the-box use case. What do you think about extending this to ED triage categorization and assisting providers by presenting a care plan (or protocol) based on the patient's medical history and current diagnosis?

I like the video which software did you use. Well done sir

Wow! Wonderful session. I loved the simplicity of explaining RAG. Thanks a lot Don.

I finally understood what RAG is, including the vector part. Great!

Amazing video, save me ton of days to study. Thank you very much Mr. Don

Thank you so much! This is a great, easy-to-follow explanation. Coincidentally, I'm having knee surgery tomorrow. LOL.

Great video! where can I get the code used in the video?

This has been the most helpful video I've found to help me understand how RAG works. Thank you so much for your wonderful explanation!

Great video! Could you please do one video on RAG with knowledge graph? Thanks!

Excellent, made so simple.😃

what a great explanation of RAG! Thank you

Hello Don Sir, thanks for this explanation. You're a blessed master craftsman. Simple and precise description and to the point.

Thank you

What is concatenate?