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Serve 1000s of fine-tuned LLMs on a Single GPU! LoRAX by Predibase allows users to serve thousands of fine-tuned models on one GPU, reducing costs without compromising speed or performance. (100% open-source)

This is how the binary system works, explained with an ingenious wooden counter.

Looks like 2025 is going to be the year of CUDA in Python, new libraries at all level of the stack!

There is also a new CUTLASS Python library that matches the C++ performance!

This is a surprisingly subtle problem, since e.g. the floating-point representations in C code satisfy commutativity of addition/multiplication, but not associativity. So we needed to define a bespoke algebra of "correctness-preserving transformations" for C programs. (8/10)

Euler-Mascheroni Constant #sharingisthenewlearning

The angle between two planes is the angle between their normal vectors...ᝰ.ᐟ

Understanding probability is essential in data science. In 4 minutes, I'll demolish your confusion. Let's go!

You’ve never seen a Git Workflow explained like this ------------------------- 🔥My Sketech

OOP Explained Easily in 1 Visual ------------------------- 🔥My Sketech

The best way to learn PyTorch is by building something with it. Consider checking out my blog where I help you, build transformers using PyTorch from scratch

Correlation is the skill that has singlehandedly benefitted me the most in my career. In 3 minutes I'll demolish your confusion (and share strengths and weaknesses you might be missing). Let's go:

Introduction to ARM Assembly

Understanding P-Values is essential for improving regression models. In 2 minutes, I'll crush your confusion. Let's go:

# A new type of information theory this paper is not super well-known but has changed my opinion of how deep learning works more than almost anything else it says that we should measure the amount of information available in some representation based on how *extractable* it is,

How I’d scale a site to 1 million users—step by step:

Traditional RAG vs. Graph RAG, clearly explained (with visuals):

Building a system that scales isn’t just about picking the right database - it’s about mastering the full stack of scalability. This powerful visual breaks down the 7 critical layers of scalable system design, from the UI to the infrastructure. Here’s what each layer brings to

watch every video of Artem Kirsanov's AI/ML playlist

Introducing GPT-4.1 for understanding arXiv papers 🚀 Highlight any section of a paper to ask questions and “@” other papers to quickly add to context and compare results, benchmarks, etc.