🔗 AI adoption is a UX problem
AI adoption is a UX problem Nan Yu: “These tools are casually dismissed as “GPT wrappers” by some industry commentators — after all, ChatGPT (or Sonnet or Gemini or Llama...
AI adoption is a UX problem Nan Yu: “These tools are casually dismissed as “GPT wrappers” by some industry commentators — after all, ChatGPT (or Sonnet or Gemini or Llama...
Building Python tools with a one-shot prompt using uv run and Claude Projects Nice and clever use of uv’s run inline dependency management and Claude Project Custom Instructions to create...
Humanity’s Last Exam “Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achieve over...
AI Engineering by Chip Huyen From the book’s Preface: This book provides a framework for adapting foundation models, which include both large language models (LLMs) and large multimodal models (LMMs), to specific applications. There are many different ways to build an application. This book outlines various solutions and also raises questions you can ask to evaluate the best solution for your needs. I picked up this book after reading its preface (through the free sample on Amazon). I’m excited to work through it over the next few weeks.
Things we learned about LLMs in 2024 Simon Willison: “A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things...