Kubernetes cheatsheet
Some frequent k8s commands with params
Here is my k8s cheat sheet covering kubenetes most important commands and concepts from installing to running containers and cleaning up:
Some frequent k8s commands with params
Here is my k8s cheat sheet covering kubenetes most important commands and concepts from installing to running containers and cleaning up:
Ditigal detox - why, when and how
A Digital Detox is a deliberate reduction of using smartphones, televisions, and computers. The primary goal is to mitigate screen overuse and promote offline activities, helping individuals create a more balanced relationship with technology.
Some frequent docker commands parameters
Here is a Docker cheat sheet covering the most important commands and concepts from installing to running containers and cleaning up:
A python code of RAG's reranking
Including staging and production environments
When you created Flutter project with AWS Amplify backend, the next step is to deploy it. Here is how to Deploy Flutter project to AWS Amplify hosting
AWS Amplify with flutter support
A quickstart - how to Create Flutter fullstack project on AWS Amplify platform.
Awesome new AI model to produce image from text
Recently Black Forest Labs published a set of text-to-image AI models. These models are told have much higher output quality. Let’s try them out
So many models with billions of parameters..
Testing how Perplexica performs with various LLMs running on local Ollama: Llama3, Llama3.1, Hermes 3, Mistral Nemo, Mistral Large, Gemma 2, Qwen2, Phi 3 and Command-r of various quants and selecting The best LLM for Perplexica
Comparing two self-hosted AI search engines
Awesome food is the pleasure for your eyes too. But in this post we will compare two AI-based search systems, Farfalle and Perplexica.
Which language to use for AWS lambda?
We can write lambda function for deployment to AWS in several languages. Let’s compare the performance of (almost empty) functions written in JavaScript, Python and Golang…
Running copilot-style service locally? Easy!
That’s very exciting! Instead of calling copilot or perplexity.ai and telling all the world what you are after, you can now host similar service on your own PC or laptop!
Testing logical fallacy detection
Recently we have seen several new LLMs were released. Exciting times. Let’s test and see how they perform when detecting logical fallacies.
Requires some experimenting but
Still there are some common approaches how to write good prompts so LLM would not get confused trying to understand what you wand from it.
Synching bookmarks across the laptops & browsers?
I’ve tried different tools and came to conclusion I like floccus the most.
Frequenly needed bits of python code
Sometimes need this but can’t find rightaway. So keeping them all here.
Labelling and training needs some glueing
When I trained object detector AI some time ago - LabelImg was a very helpful tool, but the export from Label Studio to COCO format wasn’t accepted by MMDetection framework..
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