I don't want anything your AI generates
AI output is fundamentally derivative and exploitative (of content, labor and the environment).
The latest blog posts to take off on Hacker News. 3,091 posts.
AI output is fundamentally derivative and exploitative (of content, labor and the environment).
On November 6, 2023, OpenAI announced Custom GPTs. Since then, over 3 million GPTs have been created, with over 200.000 of them made publicly available.
This is a set of notes on the Quinn Emanuel report on Cruise's handling of the 2023-10-02 accident where a Cruise autonomous vehicle (AV) hit a pedestrian, stopped, and then started moving again with the pedestrian stuck under the bottom of the AV, dragging the pedestrian 20 feet. After seeing some comments about this…
Seriously - why do we need all these vector databases? Do we need dozens of them?
Scalable high-resolution (megapixel) pixel-space image synthesis.
Asking it to repeat "ponyuseRal ponyuseRal ponyuseRal pony" makes API requests fail
A straightforward idea, gluing stuff together until it works, but it’s a glimpse of what’s possible with help of local AIs in near future
Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relative to a naive implementation. That’s the difference between a model taking a week to train and taking 200,000…
I’ve had Feeling Hard Or Hardly Feeling saved to my hard drive since 7-17-2005 without even knowing who made it. Just now bothered to find out.
Explanation of TinyML, what it is used for and the main techniques it uses
I think we have an answer on whether AIs will reshape work....
<p>I've seen a few conversations where someone says something like this:</p> <blockquote> <p>I've been using an open-source LLM lately -- I'm a huge fan of not depending on OpenAI, Anthropic, or Google. But I'm really sad that the AI safety groups are trying to ban the kind of open-source LLM that I'm using.</p>…
This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama.
I’ve had my days with Siri and Google Assistant. While they have the ability to control your devices, they cannot be customized and inherently rely on cloud services. In hopes of learning something new and having something cool I could use in my life, I decided I want better. The premises are simple: I want my new…
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices. I am motivated to gain hands-on experience tinkering LLMs so, as much as…
The tool instructions in this article are not up to date as of 2024-01-12, see this post to learn more about the new tool OpenAI added to block conversations about U.S. elections using function calls.
Freeways were supposed to be easy. What happened?
Security tends to lag behind adoption, and AI/ML is no exception. Four months ago, Adnan Khan and I exploited a critical CI/CD vulnerability in PyTorch, one of the world’s leading ML platform…
Curated collection of prompts for use with LLMs. Accessible interactively in Chat Notebooks and programmatically in functions like LLMFunction. Initial categories in the Prompt Repository cover personas, functions, modifiers.
HN discussion
Explore the intriguing history of Eliza, a pioneering chatbot, and learn how to implement a basic version in Go, unraveling the roots of conversational AI.
This year has felt distinctly different. I've been working in, on, and with machine learning and AI for over a decade, yet I can't recall a time when these fields were as popular and rapidly evolving as they have been this year. To conclude an eventful 2023 in machine learning and AI research, I'm excited to share 10…
A Chess-GPT Linear Emergent World Representation
Research in Software Engineering from Rahul Gopinath
Understand how transformers work by demystifying all the math behind them
Armed with a download of my 240,000 text message and Whatsapp history, I was able to fine-tune an LLM to create convincing conversations.
I have held back on writing anything about AI or how we (not) use AI for development in the curl factory. Now I can't hold back anymore. Let me show you the most significant effect of AI on curl as of today - with examples. Bug Bounty Having a bug bounty means that we offer … Continue reading The I in LLM stands for…