Benchmarking AI Models
How do you know if a new AI model is actually better than the last one? It turns out answering that question is a lot messier than it sounds. This week we dig into the world of LLM benchmarks — the st...
30 Mar 29min
The Hot Mess of AI (Mis-)Alignment
The paperclip maximizer — the classic AI doom scenario where a hyper-competent machine single-mindedly converts the universe into office supplies — might not be the AI risk we should actually lose sle...
23 Mar 22min
The Bitter Lesson
Every AI builder knows the anxiety: you spend months engineering prompts, tuning pipelines, and chaining calls together — then a new model drops and half your work evaporates overnight. It turns out r...
15 Mar 19min
From Atari to ChatGPT: How AI Learned to Follow Instructions
From Atari to ChatGPT: How AI Learned to Follow Instructions by Katie Malone
9 Mar 25min
It's RAG time: Retrieval-Augmented Generation
Today we are going to talk about the feature with the worst acronym in generative AI: RAG, or Retrieval Augmented Generation. If you've ever used something like "Chat with My Docs," if you have an int...
2 Mar 17min
Chasing Away Repetitive LLM Responses with Verbalized Sampling
One of the things that LLMs can be really helpful with is brainstorming or generating new creative content. They are called Generative AI, after all—not just for summarization and question-and-answer ...
23 Feb 19min
We're Back
It's been (*checks watch*) about five and a half years since we last talked. Fortunately nothing much has happened in the AI/data science world in that time. So let's just pick up where we left off, s...
16 Feb 2min
A Key Concept in AI Alignment: Deep Reinforcement Learning from Human Preferences
Modern AI chatbots have a few different things that go into creating them. Today we're going to talk about a really important part of the process: the alignment training, where the chatbot goes from b...
14 Feb 19min
