@branmcconnell#RenderHooks
saw it on my feed, even though the submission date is over, just vibe coded this
https://t.co/QuYVJ02wbH
https://t.co/JPVQ24dr7U
Meet Firebase Studio: A cloud-based, agentic dev environment powered by Gemini ✨💻✨
Find everything you need to prototype, build, and run production-quality full-stack AI apps quickly and safely.
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#GoogleCloudNext
New 3h31m video on YouTube:
"Deep Dive into LLMs like ChatGPT"
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications.
We cover all the major stages:
1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples
2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence
3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF.
I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming.
(Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security)
Hope it's fun & useful!
https://t.co/75mXcUBI8L
Introducing sidebar.tsx—25 components to help you build all kinds of sidebars.
I don't like building sidebars. So I built 30+ of them. All types. Then simplified the core into sidebar.tsx—a strong foundation to build on top of.
It works with Next.js, Remix, Vite & Laravel.
What if AI dev products (Claude, v0, etc) let you install packages, run backends & edit code?
Introducing https://t.co/XXroNZNn7H, by StackBlitz:
- Prompt, edit, run & deploy fullstack apps
- Full dev env (npm, Vite, Next.js, …) w/ frontier AI
- Free!
AI is incredible at writing code.
But that's not enough to create software. You need to set up a dev environment, install packages, configure DB, and, if lucky, deploy.
It's time to automate all this.
Announcing Replit Agent in early access—available today for subscribers: