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The origins: Neural Networks and the human brain Neural networks were inspired by the network of neurons and synapses in the biological brain. A biological neuron receives input from its dendrites, performs some operation on the inputs, and then fire...

Large language models (LLMs) such as GPT, LLaMA, and Falcon have billions of parameters. While these models are powerful, their size makes them challenging to run and adapt for specific use cases. Three key concepts help solve this problem: quantizat...

In the world of artificial intelligence and optimization, differentiability is not just a mathematical nicety — it’s a critical enabler of nearly everything we train, tune, and learn. But why does smoothness matter so much? And what happens when our ...
