Showing posts with label model. Show all posts
Showing posts with label model. Show all posts

Reading Notes #642

This week, I explored posts about improving cache management for ASP.NET Core applications and understanding error handling in Blazor. These articles, along with others on AI model selection and development productivity, offer valuable insights for developers.


Cloud


Programming


AI


Miscellaneous



Sharing my Reading Notes is a habit I started a long time ago, where I share a list of all the articles, blog posts, and books that catch my interest during the week. 


If you have interesting content, share it!

~Frank

Reading Notes #633

This edition of Readings Notes covers the synergies between C# and Rust, open-source software licensing challenges, and securing the software supply chain. It also feature a beginner’s guide to programming C# in Visual Studio Code. Finally, we delve into the evaluation process of AI models for GitHub Copilot. 

Enjoy the read!

man looking at the camera with a frozen lake behind him
Programming

Miscellaneous

  • How we evaluate AI models and LLMs for GitHub Copilot (Connor Adams, Klint Finley) - This is an interesting post that shares the methods used to test the different models before they can be included. Testing a model is different than testing a regular piece of code, what are they looking for, and what's important?
Sharing my Reading Notes is a habit I started a long time ago, where I share a list of all the articles, blog posts, and books that catch my interest during the week.

If you have interesting content, share 

~frank

Reading Notes #610

Happy Canada Day!
It's reading notes time! It is a habit I started a long time ago, where I share a list of all the articles, blog posts, and books that catch my interest during the week.

You also read something you liked? Share it!

Cloud

Programming

Databases

AI

~frank