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Code With Wilson

Wilson Wu
Six-Phase Framework
Foundation Models
Leetcode
Hash Set
Large Language Models
Retrieval Augmented Generation
Sorting
Two-Pointer Technique
AI Engineering
Attention Mechanism
KV Cache
Prompt Engineering
Markdown
Python
GPU
Continuous Batching
AI Agents
Boyer-Moore Voting Algorithm
Understanding Foundation Models
Product Of Array Except Self

I'm using AI to learn AI, and I'm publishing the journey as I go. Each episode is a NotebookLM-generated audio overview of a study brief I wrote — Chip Huyen chapters, LeetCode problem walkthroughs, AI Engineering interview topics. Built for myself, useful for anyone studying AI engineering for Google Cloud, Anthropic, OpenAI, or similar roles. Made transparently with NotebookLM (audio) and Claude... more

PublishesDailyEpisodes45Founded3 months ago
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TechnologyEducationHow To

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Artwork for Code With Wilson

Latest Episodes

Running one token through a language model isn't one big GPU operation. It's hundreds to thousands of tiny ones, and each of those has to be launched by the CPU first. During decode, those little operations finish so fast the GPU starves waiting for ... more

The single idea the entire craft rests on is this: the model is a commodity, and the system around it is the job. A raw frontier model is a brilliant intern with amnesia, no hands, and no way to check its own work. The AI engineer gives it hands thro... more

Scaled dot-product attention is not a mysterious black box. It's four elementary operations — matrix multiplication, transpose, scaling by a constant, and softmax — plus three learned projections that produce queries, keys, and values. You can write ... more

An LLM engine like vLLM exists because serving a model well is its own systems problem, distinct from training it. Text generation is autoregressive and memory-bound, and the key-value cache is the real capacity limit on how many users fit on a GPU. ... more

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Horace He
Speaker from Jane Street Tech Talk discussed in episode
Jane Street
Episode: Building ML Systems for a Trillion Trillion FLOPS — Horace He, Jane Street Tech Talk

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Wilson Wu
Host of Code With Wilson

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Frequently Asked Questions About Code With Wilson

What is Code With Wilson about and what kind of topics does it cover?

This tech-focused show delivers deep-dive explorations into AI engineering topics, with a strong emphasis on practical how-tos, coding interview prep, and real-world system design considerations. Across recent episodes, listeners get rigorous breakdowns of AI concepts (from attention mechanisms to large-model serving), hands-on problem-solving (LeetCode discussions and algorithmic thinking framed for practical engineering), and production-level perspectives on building and deploying AI systems. The format blends dense technical analysis with approachable explanations, often anchored by interview-style prompts and roadmaps that help engineers prepare for roles at leading tech companies. A standout trait is the tight connection between theory... more

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1. Super Data Science: ML & AI Podcast with Jon Krohn

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Code With Wilson launched 3 months ago and published 45 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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Recent guests on Code With Wilson include:

1. Horace He

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