Kyle
@kylestratis.com
📊 Data, AI/ML, and Cloud consultant @ Stratis Data Labs
🚉 VPEng @ Sequel Institute
🤓 Startup advisor
✒️ Writing about MCP
🐍 Python
☁️ AWS
🧙♂️ Elixir
🐷Ham radio
🇺🇸↔🇬🇷 [Boston // Athens]
Mostly tech things here
🚉 VPEng @ Sequel Institute
🤓 Startup advisor
✒️ Writing about MCP
🐍 Python
☁️ AWS
🧙♂️ Elixir
🐷Ham radio
🇺🇸↔🇬🇷 [Boston // Athens]
Mostly tech things here
That's just a small, fast non-reasoning model.
May 28, 2025 at 7:41 PM
That's just a small, fast non-reasoning model.
It's almost here! My latest @oreilly.bsky.social Report is a collaboration with Red Hat to bring you the latest best practices in open-source AI platform infrastructure development for large foundational models using Kubernetes.
February 4, 2025 at 7:49 PM
It's almost here! My latest @oreilly.bsky.social Report is a collaboration with Red Hat to bring you the latest best practices in open-source AI platform infrastructure development for large foundational models using Kubernetes.
Also @chiphuyen.bsky.social’s new book looks great in person!
January 22, 2025 at 11:03 PM
Also @chiphuyen.bsky.social’s new book looks great in person!
Just switched to it and am really enjoying it so far!
December 5, 2024 at 2:25 PM
Just switched to it and am really enjoying it so far!
BUT! This is terrible and largely unnecessary, if fun (for certain definitions of fun). If you're going to use regular expressions, set up your dict so that the keys are extractable, unique pieces of your string (in the example, "customers") and extract that from your input string for the lookup:
![Python code:
from models import CustomerModel
import re
def get_model(table_name: str):
fuzzy_dict = {
"customers": CustomerModel,
}
pattern = "table-\w+-(\w+)-\w+"
key = re.match(pattern, table_name).group(1)
model = fuzzy_dict[key]
return model](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:polv2nnc3avny5kh7tlseen4/bafkreibzhkbj6u4tqcu76ixyiyc5etdkvp2io72woy2ux4tqdbkpxzbbou@jpeg)
December 4, 2024 at 3:41 PM
BUT! This is terrible and largely unnecessary, if fun (for certain definitions of fun). If you're going to use regular expressions, set up your dict so that the keys are extractable, unique pieces of your string (in the example, "customers") and extract that from your input string for the lookup:
In this snippet, we set up a dict that points to Model objects using keys that are valid regular expressions representing dynamic table names. To get the right model, you use dict.items() and check each key for a match. You can build a list or just take the first match.
![Python code:
from models import CustomerModel
import re
def get_model(table_name: str):
fuzzy_dict = {
"table-(\w+)-customers-(\w+)": CustomerModel,
}
models = [value for key, value in fuzzy_dict.items() if re.match(key, table_name)]
return models](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:polv2nnc3avny5kh7tlseen4/bafkreig4bv3znv6almpvq46zszfctqz3wqffkss2vk5fpbiw2mpeyj74kq@jpeg)
December 4, 2024 at 3:41 PM
In this snippet, we set up a dict that points to Model objects using keys that are valid regular expressions representing dynamic table names. To get the right model, you use dict.items() and check each key for a match. You can build a list or just take the first match.
It’s old (I left the field a decade ago), less blocky, and focused on the brainstem (the lab I was in focused on the brainstem and periphery), but I was always partial to this style because they show rough structure of each organ:
November 30, 2024 at 2:45 PM
It’s old (I left the field a decade ago), less blocky, and focused on the brainstem (the lab I was in focused on the brainstem and periphery), but I was always partial to this style because they show rough structure of each organ:
Bins (for evergreen notes, fleeting notes, recipes), Daily Notes, Sources (for highlights and things from books, videos, etc.), Spaces (for work projects, career projects, hobbies, etc.), System (for templates), and "The Nexus" for index notes that serve as topical hubs to evergreen notes.
November 18, 2024 at 3:13 AM
Bins (for evergreen notes, fleeting notes, recipes), Daily Notes, Sources (for highlights and things from books, videos, etc.), Spaces (for work projects, career projects, hobbies, etc.), System (for templates), and "The Nexus" for index notes that serve as topical hubs to evergreen notes.
I refuse to join Bluesky. I don't want to become part of a Coal Chamber.
November 17, 2024 at 6:30 PM
I refuse to join Bluesky. I don't want to become part of a Coal Chamber.
Bluesky accounts are looking good on GitHub even if they don’t have the butterfly logo yet
November 1, 2024 at 3:04 AM
Bluesky accounts are looking good on GitHub even if they don’t have the butterfly logo yet