Every blog post that took off on Hacker News, ranked by the votes of its best submission. 789 posts.
A lot of people have asked about the computers I used to train TorToiSe. I’ve been meaning to snap some pictures, but it’s never “convenient” to turn these servers off so I keep procrastinating. We had some severe thunderstorms today here i
Why RLHF may still win out and why we haven't seen it yet in open-source.
The rise of powerful AI dialogue systems in recent months has precipitated debates about AI risks of all kinds, which hopefully will yield an acceleration of governance and regulatory frameworks.
The handbook to the LangChain library for building applications around generative AI and large language models (LLMs).
If you’ve spent any time with GPT-3 or ChatGPT, you’ve likely thought about how useful it would be if you could point them at a specific, current collection of text …
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
"In retrospect, I wish I had known more about the hazards and difficulties of [running] a business." -- George McGovern
[LinkedIn discussion, Twitter thread]
Stephen Wolfram explores some of the science, technology and philosophy of what we can expect from AIs. From how ChatGPT works to the cycle of technology, to the concept of progress and preparing for an AI world.
New updates to Search Generative Experience (SGE) help people easily learn new things and understand key concepts while searching online.
Unfortunately for the countless hapless people I've talked to in the past few months, this was inexorable. Ever since ChatGPT exploded in popularity, my inner designer has been bursting at the seams.
A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design.
LLM is my Python library and command-line tool for working with language models. I just released LLM 0.9 with a new set of features that extend LLM to provide tools …
A few things Marc Andreessen forgot to mention
Generating art at JetBrains At JetBrains, we are constantly refining our approach to creating pieces of art for use as website elements and release graphics. Our mission is to free graphic designers f
Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.
Research on programming tools published at CHI 2023.
Step-by-step tutorial explaining scaled dot-product self-attention for large language models, with Python code that builds the mechanism from scratch.
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GitLab AI-powered security feature to leverage Google Cloud's foundation models to empower customers to identify and remediate vulnerabilities more efficiently while maintaining privacy standards...
In a new industry-standard benchmark, a cluster of 3,584 H100 GPUs at cloud service provider CoreWeave completed a massive GPT-3-based benchmark in just 11 minutes.
We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process…
The myth A few years ago I saw a StackOverflow question (but I cannot find it now): allegedly Andrew Gelman blogged that Bayesian models would not overfit and would only underfit (I also cannot find Andrew’s blog post now but I think what he meant by “Bayesian models only underfits” is that you can never fully model…
Back in 2014, Elon Musk referred to AI as summoning the demon. And it wasn’t hard to see that view. Soon, Go agents would beat top humans learning from self play. By the end of 2017, the same algorithm mastered Chess and Shogi. By 2020, it didn’t even need tons of calls to the simulator, and could play Atari too.
