Talking about language models and machine learning in general, there is always some amount of jargon involved that was introduced in foundational papers or books. In this post I wanted to discuss the most popular ones that you can often find in the community discussions or in blogs similar to...
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Common Terms in LLMs, Inference, and Fine-Tuning Explained
I decided to compile a list of terms/abbreviations that are often used around the machine learning and language model community when discussing tooling and techniques. I will reference this in my future posts to avoid repetition.
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Tools and libraries for LLM Fine-Tuning and Inference
Due to LLM popularity at the moment, there are a lot of different tools for what seem to be very similar tasks — generating responses from the LLM and fine-tuning LLMs for your own needs. To understand this market better myself, I decided to write this post, summarizing knowledge that...
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Free Options for Running and Training Language Models in 2025
After doing some research and finding free alternatives to running your machine learning model on a home machine, I decided to post this short write-up of my findings. It is relevant as of April 2025 but will probably change in the future.
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Password Hashing and Salt
I created this short post to illustrate why you need unique password salt per user for DevJungles chat discussion (and got a cool DevJungles mug as a result!). In this post, I don’t want to go into detail about rainbow attack or what is salt in cryptography. Let’s start!
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