This Week In AWS Community: Building My QnA Bot

Having hands on lab experience under your belt is a must as an AWS Community Builder. Having read the updated technical writing standards (covered here), I’ve decided to go about tinkering in some machine learning.

Initially I was going to try and do an Amazon Lex app. Lex was the first AWS service that popped into my head once I read the new technical writing standards; but learned that now requires AWS Bedrock model access. Requesting model access is not immediate so I’ve found a QnA (question and answer) bot implementation guide. It was *chef’s kiss*

QnA Bot

I’ve used Amazon Lex and CloudFormation to run the QnA implementation guide. Fair warning: it did take CloduFormation over 35 minutes to process 100+ events and I did have to individually delete all 22 CloudFormation stacks), but being able to enter and run my own QnA bot is euphoric! As a Builder on the machine learning track, this is why I pick this track! I get to see and play with AWS machine learning services.

Immediately afterward I’ve begun thinking about other labs that I can do then shoot a video. I like learning in public. I have found some more machine learning exercises that interests me. I am also happy that Jon Bonso (another AWS Community Builder), has posted his SageMaker article onto LinkedIn. I may try that…