Notes I took whilst studying "Google DeepMind: AI Research Foundations". Covers fine tuning and accelerating your model.

Notes I took whilst studying "Google DeepMind: AI Research Foundations". Covers designing and training neural networks as well as the transformer architecture.

Notes I took whilst studying "Google DeepMind: AI Research Foundations". Covers building your own small language model and language representation.

Notes on architecting AI inference stacks and TPUs from Google's learning path, "Inference on TPUs".

Notes on architecting multi-agent systems from Google's learning path, "Architect Multi-Agent Systems with Agent Development Kit".

Here's a TLDR note on European equities microstructure.

Sometimes you want to profile your open source clustered cache, but no one will give you a free license for it. So here's a TLDR note on the various kinds of profiling and profiler technologies. Includes fleet wide continuous profiling using eBPF based profilers.

What's the difference between a function, a closure and a monad? It's not a joke, it's a TLDR note.

React is all around us, but more specifically it's a monorepo containing several packages. Here's a breakdown on the structure of the core React codebase, also covers the React Scheduler and Reconciler.

A TLDR note on US equities microstructure. Also covers Reg NMS 2.0.