A world model for market microstructure
In Part 1 of this blog post series, I described the preprocessing problem that kept surfacing in conversations with HFT firms: their pipelines are either too ...
In high-frequency trading data, noise isn't the problem. Assumptions are.
Lambda recently teamed with Hudson River Trading (HRT), one of the most respected quantitative trading firms in the world, to power their trading research and ...
JAX on NVIDIA GPUs Part 2: A practical guide for ML engineers
This guide demonstrates how to scale JAX-based LLM training from a single GPU to multi-node clusters on NVIDIA Blackwell infrastructure. We present a ...
JAX on NVIDIA GPUs Part 1: Fundamentals and best practices
JAX unlocks distinct advantages on GPUs: automatic kernel fusion via XLA, composable transformations, and hardware-agnostic code that moves between ...
The Essential Guide to GPUs for AI, Training and Inference
Introduction Graphics Processing Units (GPUs) were originally designed to handle computer graphics, like making video games look realistic or helping Netflix ...
Beginners Guide to Reasoning in AI
If you've been anywhere near LLMs lately, you've probably heard the word "reasoning" thrown around more than a frisbee at a college campus. GPT-4 can "reason" ...
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