Lots of updates to CloudWatch!
Now it has automated pattern and anomaly detection. I like the fact that you can compare with a previous period to see how patterns have changed.
Might get a lot of noise though. Have to test it out to see.
https://t.co/gDRPB90WNW
Awesome atmosphere here at #reinvent2023 . loving the talks, the mascots - shout out to #s3 bucket
looking forward to the week of incredible learning and networking from my peers @awscloud
This is super awesome update. As a vocal advocate of full environments as code in platforms, am super excited as this release simplifies how we can loop through and manage dependencies and references.
Accelerate your #CloudFormation authoring experience with the Fn::ForEach looping intrinsic function. This launch comes directly from open discussion with our community. Thank you for your feedback!
For more info, see: https://t.co/p8gRb1mh11
Easily the best paper on current State of LLMs! 🙏
A 50 page read but it’s not “just another” survey paper, that only documents facts. The authors actually add very useful commentary capturing all aspects of building Large Language Models.
Hence the result is a collection of ideas we might have missed across months of research.
It covers both building LLMs and effectively applying them to domains, with a focus on current limitations and “sharp edges”
As always, I think great content makes you discover missing bits in your knowledge, for this reason it’s a solid cover to cover read recommendation:
https://t.co/DjCSS8o2Tp
Excited to partner with leading generative AI companies like @huggingface—our collaboration will make large language models more accessible, easy to train and deploy, and cost-efficient for developers. #AWS#LLMs https://t.co/7Z1t7pH9Es
ICYMI: @awscloud and @MSFTResearch partnered to create PyWhy, the new home of Microsoft’s causal ML library DoWhy—and the most popular causality libraries on GitHub—using novel causal-analysis algorithms developed by Amazon. Learn more. #AmazonScience#AWS
We've launched 3 new condition keys to help you to control access along your AWS organizational boundaries:
🔑 aws:ResourceOrgID
🔑 aws:ResourceOrgPaths
🔑 aws:ResourceAccount
Learn how to get started. https://t.co/BEj2cMwouy
Easily one of the best talks today. how AWS enables HPC and how easy switching of a super computer (HPC clusters) between types of processors with effectively a single line of code and wait 10 mins. 🤯🤯
#AWSSummit#hpc#AWSSUMMITLONDON#AIML
In an in-person event after years !! An amazing turnout and exciting talks all around. Purpose built and serverless for the win #awssummit#aws#awssummitlondon
Lambda now supports a scratchpad (/tmp) of upto 10GB. Awesome 😎 Great to cost optimally do ETL without needing to increase memory allocation in lambda. #aws#ml#mlpipelines#dataandanalytics https://t.co/D4Olc1VJuK
By popular request, AWS Step Functions Workflow Studio now shows visually all of the decision criteria for a choice state directly in the workflow diagram. Thanks to our awesome UX and dev teams for this incremental improvement.
Our latest launch for AWS Step Functions! We listened to customer asks and wanted to make it easier to test workflows. Now you can mock service integrations and use the AWS-SDK integrations with Step Functions Local, our local runtime. Here's the blog:
https://t.co/llwmrGkcS9
Finally done with the @aws Re-certifications :) One key thing i have come to understand through this process is that prepping with a baby is five times more harder and kudos to every other fellow AWS certified individuals who are parents #AWSCertified#7yearsandcounting#AWS
I have spent eons arguing about all of the listed issues with some of my previous clients when they were undergoing transformation for severless adoption. Feeling so validated now. 😁😁😁 https://t.co/iwzLN0dgaN