This use case is part of my Udemy course on AWS Amazon Bedrock and GenAI. Please review the course with discount coupon - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?couponCode=AE5A92A70A62F3230992
@@Adityasharma-z1r - Doc summarization can be done using the exactly same approach as well. You can use Claude Foundation Model which has max token size of 200K which is approx 150K words but then its going to cost you a lot more because price is per 1000 token. The other approach is to use Langchain to use chunks if you want to use the same Foundation model with lower max token size...Hope the answer helps..
@@trisalrahul Thank you for your response.I have built an application using Langchain and using OpenAI embedding. However I want to use AWS bedrock FM instead of OpenAI. Also I want to have a conversation based architecture.
I have a built a chatbot using Bedrock-Llama2, Langchain and Streamlit in my Udemy Course on Bedrock - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?couponCode=1D690AAC097DFA0B3835
I mostly dont comment on youtube but your video of 39 minutes just provided so much info which would have taken me hours to R&D. Thanks a lot for this tutorial.
@rahul, great video! I am seeing the correct IAM roles: AmazonBedrockFullAccess, AmazonBedrockReadOnly, AmazonBedrockStudioPermissionsBoundary, AmazonSageMakerCanvasBedrockAccess. You might want to update the video or description to include that.
very useful. please continue with more projects with AWS AI... ChatBot with Lex, Connect, Bedrock.... Especially, Bedrock is new comparatively and not known to all like that. Thank you
Excellent Explanation using Bedrock components. But How can we use it for text summarization for user provided document i.e might pdf or of any format?
Thanks @manoj - You will need the lambda function to read the pdf and pass as prompt...If the pdf is too long...longer than the context window...you need to use an ochestrator like langchain to break the pdf and pass as prompt...
This demo seems to be a common one, it doesn't say about the said industry specific use case. Is there a different video to look at that manufacturing use case?
This use case is part of my Udemy course on AWS Amazon Bedrock and GenAI. Please review the course with discount coupon - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?couponCode=AE5A92A70A62F3230992
This video covers the QnA using bedrock. Does the udemy course has full project for document summarization as mentioned in your architecture?
@user-wf4mo5kc1y - please add me on linkedin…we can discuss what you are looking for exactly?
@@Adityasharma-z1r - Doc summarization can be done using the exactly same approach as well. You can use Claude Foundation Model which has max token size of 200K which is approx 150K words but then its going to cost you a lot more because price is per 1000 token. The other approach is to use Langchain to use chunks if you want to use the same Foundation model with lower max token size...Hope the answer helps..
@@trisalrahul Thank you for your response.I have built an application using Langchain and using OpenAI embedding. However I want to use AWS bedrock FM instead of OpenAI. Also I want to have a conversation based architecture.
I have a built a chatbot using Bedrock-Llama2, Langchain and Streamlit in my Udemy Course on Bedrock - www.udemy.com/course/amazon-bedrock-aws-generative-ai-beginner-to-advanced/?couponCode=1D690AAC097DFA0B3835
I mostly dont comment on youtube but your video of 39 minutes just provided so much info which would have taken me hours to R&D. Thanks a lot for this tutorial.
Thank you for watching…
I appreciate the way you showed the documentation as you wrote your code, very helpful. Subscribed.
Awesome, thank you
Thank you...
@rahul, great video! I am seeing the correct IAM roles:
AmazonBedrockFullAccess, AmazonBedrockReadOnly, AmazonBedrockStudioPermissionsBoundary, AmazonSageMakerCanvasBedrockAccess.
You might want to update the video or description to include that.
Yep, now it’s visible but 8 months back they did not have one…but a good point to note for anyone watching now …
Great demo and clear explanation..thank you!
Thanks Naveen
very useful. please continue with more projects with AWS AI... ChatBot with Lex, Connect, Bedrock.... Especially, Bedrock is new comparatively and not known to all like that. Thank you
Thanks, will do!
Very detailed video. I liked it!
Thank you!
Thankyou Sir. Keep uploading building application using Aws Bedrock
Thank you for watching...
Well explained. Good effort.
Thank you..
thank you sir, your video is clear and didactic.
Thank you
Thank you so much sir
Thanks for watching
Thanks a lot Sir. you were awesome
Thank you for watching 🙏🏻
Excellent Explanation using Bedrock components. But How can we use it for text summarization for user provided document i.e might pdf or of any format?
Thanks @manoj - You will need the lambda function to read the pdf and pass as prompt...If the pdf is too long...longer than the context window...you need to use an ochestrator like langchain to break the pdf and pass as prompt...
@@trisalrahul Thank You. Could you please provide more details on the how we can use langchain in detail with sample code?
@@manojkumarreddy5801 - I will try and make a video on that in future....
Awesome, Thanks
Thanks Vinoth...
This demo seems to be a common one, it doesn't say about the said industry specific use case. Is there a different video to look at that manufacturing use case?
You can customize based on your requirements...basic idea remains the same...thanks...
The given tutorial its very very useful, just one request please make it again into hindi please
Thank you Manohar...that is a good idea...will try record it in Hindi....
fantastic video. please show how to get this into an app or website
Thank You
please upload documentation and ppt of this project
Hi Rajan - this video is part of my Udemy course which you can check from above link
nice
Thanks…