Generative AI With LLM Models Crash Course On AWS Cloud

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In this video we will build Generative ai application using Langchain,huggingface and aws services .We will also be seeing about how we can use various foundational LLM models including open source models using aws bedrock.
Timestamp:
00:00:00 Introduction
00:00:54 Gen AI Project Life Cycle
00:11:32 End To End GenAI Usecase Uing AWS Cloud
01:05:40 Deployment Huggingface models uing Sagemaker
01:27:42 AWS Bedrock With Langchain
02:04:55 Amazon Code Whisperer
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This man is the single reason why I am able to learn all that I know till date

datacodedesign
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Hey Krish, Amazing video! Looking forward to seeing many more!

johnimmanuel
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looking forward to this series! Could you go more in-depth into RAG: Re-Ranking / Chat-Memory ?

awakenwithoutcoffee
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amazing video..Thank you for this crash course.

ceesha
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krish bro u r really awesome, thanks for all these content . and can u make a seprate video of genrative ai interview questions playlist there are lots of opening in gen ai and it is difficult to tackle interview round of gen ai

purushottambarde
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I really like your presentation. What tools do you use and can you do a video explaining all the tools for a budding content creator.

avaneeshchittineni
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Lots of love and liked from Lahore Pakistan

hamidraza
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Hi Krish, great videos!! Could you also show us how to create a chatbot using Amazon Q? That would be really helpful. Thanks!

apekshask
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Thank you for making such detailed video

aadityakumarravi
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Awesome VDO!
Pls make VDO why you left the company & now 100% on YouTube?

yayi
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Nice Mr. Krish. You are the one who is the best for me. Can I communicate with you. I have a paper on low resource language . I would like to send to publisher can you help me

berhanubogale
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I would like to do a complete generative ai course from you, where I should go and the gen ai course offered by you. Please suggest

sheolikapoor
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Sir, please can you make a video on how to clone and run. LLm and VLM, etc. In my circle, most of the students face this issue. Mostly, we clone the code but didn't bring it to work because of not aligning checkpoints, data, and others.

ahmadishaq
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Thanks krish for the excellent video. I am getting a time out exception we tried to connect bedrock with boto3 . Shall i do any other setting to make it connect?

ajithkumar
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Hey Krish, How do we handle AWS credentials in the LangChainxAWS app ? *EDIT* Krish goes over this in his Bedrock crash course 😉

awakenwithoutcoffee
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It would be great if you can tell how to deploy a fine tuned model using AWS

programwithpradhan
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Hello Sir, Hello, could you create a tutorial on fine-tuning vision-language models like LLaVA or IDEFICS for Visual Question Answering on datasets like VQA-RAD using QLoRA, including evaluation metrics?

Please make a full step by step tutorial. Thanks in Advance!

miltonvai
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Sir, i have request to you.I bought your udemy course.can you please add generative AI in that course also.

AD-tldr
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for i in range (0, 200): print("Amazing")

mdrehanall
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why did you used LLaMA 2 13B only, is there pricing difference between LLaMA 3 8B Instruct and LLaMA 2 13B ? Since ii dont have access to llama 2, is there harm or difference in performance except slwow performance between them ?

ayushjha