Text Summarization with AWS Amazon Bedrock - Cohere FM, AWS Lambda, API Gateway [HANDS-ON]

In this video we will implement a common Generative AI Manufacturing Use Case with AWS Bedrock, AWS Lambda and API Gateway.
This is Use Case is part of my Udemy Course on AWS Bedrock and Generative AI and can be accessed from below link with Discounted Coupon Code : www.udemy.com/...
This is a hands-on tutorial, where following things will be demonstrated.
- AWS Generative AI Use Case
- Architecture using AWS Bedrock, AWS Lambda, AWS API Gateway
- Bedrock Model Access and Overview
- Write step by step the AWS Lambda function to access Bedrock Cohere Foundation Model
- Create REST API and integrate with AWS Lambda and Bedrock
- End to end Demo
Check out other videos in Amazon Bedrock Playlist :
Use Case 1 : Text Summarization with Amazon Bedrock & Generative AI - AWS Bedrock - Cohere Foundation Model + AWS Lambda + API Gateway • Text Summarization wit...
Use Case 2 : Build a CHATBOT with AWS Amazon Bedrock- Llama 2, Langchain and Streamlit
• Build a CHATBOT with A...
Use Case 3 : Build a HR Q and A App with Retrieval Augmentation Generation (RAG), AWS Bedrock, FAISS, Langchain, Streamlit
• Build a HR QnA App usi...
Use Case 4 : Build Serverless e-Learning App using Amazon Bedrock Knowledge Base + AWS Lambda + Claude FM + API Gateway:
• Amazon Bedrock Knowled...
Video 5 : Basics on Vectors, Vector Embeddings, Embedding Models, Chunking, Vector DB , Cosine Similarity, KNN Algorithm :
• What are Vectors, Vect...
- Connect with me on Linkedin to discuss anything related to AWS Generative AI - / rahul-trisal
Check out my other Udemy Courses from below:
AWS Cloud Development Kit (CDK) - V2- www.udemy.com/...
AWS CloudFormation course on Udemy and can be accessed from following link - www.udemy.com/...

[@trisalrahul]

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]

This video covers the QnA using bedrock. Does the udemy course has full project for document summarization as mentioned in your architecture?

[@trisalrahul]

@user-wf4mo5kc1y - please add me on linkedin…we can discuss what you are looking for exactly?

[@trisalrahul]

@@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..

[@Adityasharma-z1r]

@@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.

[@trisalrahul]

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

[@JohnVold]

I appreciate the way you showed the documentation as you wrote your code, very helpful. Subscribed.

[@trisalrahul]

Awesome, thank you

[@trisalrahul]

Thank you...

[@Learn_IT_with_Azizul]

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

[@trisalrahul]

Thanks, will do!

[@Naveen-yy2xu]

Great demo and clear explanation..thank you!

[@trisalrahul]

Thanks Naveen

[@SreenathV]

Very detailed video. I liked it!

[@trisalrahul]

Thank you!

[@e5equence]

thank you sir, your video is clear and didactic.

[@trisalrahul]

Thank you

[@MahalingamBalasubramanian]

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?

[@trisalrahul]

You can customize based on your requirements...basic idea remains the same...thanks...

[@berthasebastian1490]

@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.

[@trisalrahul]

Yep, now it’s visible but 8 months back they did not have one…but a good point to note for anyone watching now …

[@heatvisuals]

fantastic video. please show how to get this into an app or website

[@trisalrahul]

Thank You

[@crimsonsuv]

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.

[@trisalrahul]

Thank you for watching…

[@manoharpatil7006]

The given tutorial its very very useful, just one request please make it again into hindi please

[@trisalrahul]

Thank you Manohar...that is a good idea...will try record it in Hindi....

[@rajank2909]

please upload documentation and ppt of this project

[@trisalrahul]

Hi Rajan - this video is part of my Udemy course which you can check from above link

[@AswaniAswani-in5ft]

Thank you so much sir

[@trisalrahul]

Thanks for watching

[@shashipal3589]

Thankyou Sir. Keep uploading building application using Aws Bedrock

[@trisalrahul]

Thank you for watching...

[@manojkumarreddy5801]

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?

[@trisalrahul]

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...

[@manojkumarreddy5801]

@@trisalrahul Thank You. Could you please provide more details on the how we can use langchain in detail with sample code?

[@trisalrahul]

@@manojkumarreddy5801 - I will try and make a video on that in future....

[@sahandd1]

Thanks a lot Sir. you were awesome

[@trisalrahul]

Thank you for watching 🙏🏻

[@MsVinoth123]

Awesome, Thanks

[@trisalrahul]

Thanks Vinoth...

[@babusivaprakasam9846]

Well explained. Good effort.

[@trisalrahul]

Thank you..

[@Julian-h2p]

nice

[@trisalrahul]

Thanks…