Learning Track: AI, it's not that complicated

Breaking down what ChatGPT and others are doing under the hood

How AI models learned to stop being weird and start being helpful.

GPT-3 is a Machine Learning model that generates text.

Why these chips pair perfectly with AI, and how NVIDIA became the most valuable company in the world.

How computers learn patterns from data: the foundation for everything from stock price prediction to ChatGPT.

How to make sure your next big AI push doesn't flop.

What actually goes on inside the buildings propping up the US economy.

Data Science Notebooks help data teams explore data with code.

A deep dive into how models like ChatGPT get built.

AI models inherently make stuff up. What can we do about it?

Enough surveys and corporate hand-waving. Let's answer the question by looking at usage data from an AI compute provider.

A refresher on how models like ChatGPT and Stable Diffusion work under the hood.

The new way of connecting AI models to your tools and data. Is it real, or a passing hype train?

How FastMCP makes it easy to ship an MCP server.

Beware the benchmark.

All about "reasoning" language models like OpenAI's o3 and Deepseek's R1.

A look at the thin line between using AI smartly and writing your own pink slip.

Retrieval Augmented Generation is a way to make AI models more personalized

A vector database is a place where developers store specially formatted data to use for machine learning and AI.

Unlike an onion, hopefully these neural network layers won't make you cry.

How bigger models, more data, and more compute keep beating clever tricks.

Why Three Mile Island is back in action after a 50 year hiatus.

AI models seem to approximate the brain, intentionally or otherwise.

Finally, an explanation for why AI models can't seem to quit them.

All about Vercel’s v0

Things you should know as a vibe coder that will make your app actually work / not die.

Comparing Replit, v0, Lovable and Bolt, in a bakeoff to decide who will be Vandalay Industries go-to vibe coding tool.

All about AI evals, plus how Braintrust helps companies build better AI apps.

How to actually make your AI workflows, er, work.

How do ChatGPT, Mistral, Gemini, and Llama3 stack up for common tasks like generating sales emails?

OpenAI isn't the only one having fun

OpenAI is the most popular provider of generative AI models like GPT-4.

What we should really be asking is “What does Databricks not do?”

How Browserbase built their viral demo of Open Operator (in 24 hrs!) using Vercel's v0 and the AI SDK.