AWS sagemaker AI LLM project

Job ID: 37851576

Budget: $10 – $30 CAD

use project
Intelligent Mutual Fund Prospectus Document Processing

https://github.com/aws-samples/generative-ai-financial-services-samples/tree/main/intelligent-mutual-fund-prospectus-document-processing

more ideas
https://www.youtube.com/watch?v=A9Pu4xg-Nas&t=1124s

https://github.com/AIAnytime/Llama-2-Deployment-on-AWS

https://www.youtube.com/watch?v=Nlo7WclRBXc&list=PLrLEqwuz-mRKB0Ye9V-NuGASYApagRneg&index=8

https://www.youtube.com/watch?v=Nlo7WclRBXc&list=PLrLEqwuz-mRKB0Ye9V-NuGASYApagRneg&index=8



but do all inly using sagemaker

teach me how to run python on AWS this ML project
access to AWS API should be done from any local computer
code runs on web
4 days to do

---------------------------------------------------------------
PROJECT ACCEPTANCE : I CAN Develop BY MYSELF on my AWS account and use from any local computer
----------------------------------------------------------------

you provide videos and code how to do step by step ,
then we meet online and record how I do it step by step how to do it , you tell me what to do , I do on my own AWS account and making requests from my local windows computer

1. I do not provide you my AWS account . you develop all on your AWS account
2. provide functionality to autoscale: not load use 1 aws instance , then grow up to 10 instances when number of users and request grows (simulate in python code many users requests from local computers )
3. provide functionality to ask any question, not predefined as in sample code
4. add login functionality (user id and password)