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Roman Profile picture
Roman
@naumenko_roman
I teach AWS CDK. Reach out at roman@naumenko.ca Threads https://t.co/xaGbUb9zjY ChatGPT runs for me 25k Command Options Fund
Jul 26, 2024 • 9 tweets • 2 min read
I think the "declarative" was the biggest blunder of the Thing-As-Code and DevOps mantra.

The question has been in the air: Is writing code in a general-purpose programming language maybe the most reliable and scalable way to declare anything? Also, anybody who has touched large-scale platforms knows this; even if they find a "smart" way to do it without programming, it immediately blows up.

The environment always demands changes! So all this declarative, templated house of cards always crumbles.
Jul 9, 2024 • 9 tweets • 2 min read
My main impression from AWS Summit the cloud is business as usual. 80% EC2/VPCs.

And you can play with models, or if you have a good budget to book thousands of A100's then build your own. Gen AI is in infancy, according to Matt Wood who's in charge of AI at AWS. Fav part of his talk, a customer sent him a spreadsheet with hundreds of gen AI use cases to discuss.

(when the firm where I'm did internal marathon to generate use cases, they collected >30k cases)
Jun 26, 2024 • 15 tweets • 3 min read
Im a fan of industrial facilities. Went to see Amazon fulfillment center in NJ

EWR4 I think the code name. Entertaining tour

And guess what, I got lucky: the center was down. “AWS was doing update and something went unplanned”

Image
Image
Image Still, even idling it looks impressive.

Each package touched by hands about dozen times in processing
May 23, 2024 • 19 tweets • 3 min read
Let’s talk about a shitshow called GitHub issues.

You may think Stackoverflow or Gpt recently are the thing to solve issues but it’s the GitHub’s issues where the world comes to solve all problems with software products. Let’s consider a popular project, a lot of features and adoption, so lots of early stage users end up there in the issues looking to solve their problem or create a bug report.
May 12, 2024 • 10 tweets • 3 min read
Continuing build cheap, scalable and secure RAG-less architecture for talking with docs.

Start is here

Review of OpenAI fully managed RAG (file_search) here:

The problem with OCR solved: AWS Textract takes real good care of it!


Image S3-> SFN -> File +Text

That last state in the State Function is where Lambda gets a nicely formatted text. It's either from OCR or in markdown from a text PDFs (extracted by pymupdf4llm package).
May 5, 2024 • 12 tweets • 4 min read
After meditating over various libraries, including AWS, GCP, and even Langchain, I think OpenAIs is ahead of the game

500 lines of simple code (80% by ChatGPT) and it finds satisfying $150 savings on insurance

Lets look at why OpenAI is good and where it should improve

#openai

Image
Image The library and documentation: everything is in one place.
Playground:
Nicely organized tutorials:
API refs includes working examples:

So you try things in the playground; look at tutorials, then code.platform.openai.com/playground/chat
platform.openai.com/docs/overview
platform.openai.com/docs/api-refer…
May 1, 2024 • 8 tweets • 3 min read
I clicked "Introducing Amazon Q Apps (Preview)" and now I can not unsee it

It sends us to a YouTube video where a team struggles with daily tasks but finds relief in Gen AI product. First, they get onboarding plan for John at Example Corp - looks great!

aws.amazon.com/blogs/machine-…
Image Example Corp was a marketing corporation but it's just a shell; in reality, it's a premier financial services company! Wut?

It partners with AnyCompany to implement AI Boost solution (hey, kids - this is what consulting looks like).
They made an Investment Analyst Assistant. Image