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Code is here (including highly valuable prompts): github.com/whitead/paper-… Still needs some work, but fun to play around with and has been legitimately useful for my own research. 5/5

My friend saw this book on Malcolm Guite's shelf, decided that I needed one on my shelf, then hunted it down and surprised me with it today. It contains works by favorites such as, Tennyson, Coleridge, Donne, Spenser, Solomon, Yeats. And it was published the year I was born.

This paper is going viral. Why? Authors were able to find a way to enable the Recurrent Memory Transformer to retain information across up to 2 million tokens 🤯 In simpler words, it can process and remember vast amounts of data, significantly more than before. Just so you

I am at least 3-5x more productive using ChatGPT to code. Not only am I faster writing code I'm familiar with, but I've even shipped apps in tech stacks I'd never used before. Here's my process, the prompts I use, and why it all works:

1. Hugging Face launches a ChatGPT alternative Hugging Face launched a 30-billion-parameter open-sourced AI chatbot called HuggingChat The chatbot aims to compete with OpenAI's ChatGPT.

1/ Thrilled to announce: Our new course ChatGPT Prompt Engineering for Developers, created together with OpenAI, is available now for free! Access it here: deeplearning.ai/short-courses/…

What is ignored by the media -- but will be studied by historians? 8 more examples:

Open AI just released their most powerful tool yet. The Code Interpreter. Here are 10 insane examples I've found:

Remember when naïve hackers were called script kiddies? What would be the equivalent designation for folks who think they are AI experts after a couple hours of LLM prompt engineering? Prompt kiddies?

Generative LLMs are slow and expensive to serve. Their much smaller, distilled versions are faster and cheaper but achieve suboptimal generative performance. We show it is possible to achieve the best of both worlds. Code: github.com/flexflow/FlexF… Paper: cs.cmu.edu/~zhihaoj2/pape…

🤔Humans can learn from embodied experiences in the physical world. Can Language Models also do that? 🔥Check out our new paper about enhancing Language Models with World Models! 👇arxiv.org/abs/2305.10626 1/n

R.I.P. Photoshop. In just a few clicks, you'll be able to edit any image EXACTLY the way you want. 🤯

In three in one and one in three, in rhyme, In music, in the whole creation story, In His own image, His imagination, The Triune Poet makes us for His glory, A Sonnet for Trinity Sunday malcolmguite.wordpress.com/2023/06/04/a-s…

I'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk. What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to?

GPT-Engineer just hit 12,000 stars on Github. It's an AI agent that can write an entire codebase with a prompt and learn how you want your code to look. ▸ Asks clarifying questions ▸ Generates technical spec ▸ Writes all necessary code ▸ Easy to add your own reasoning

We've all dealt with activation functions while working with neural nets. - Sigmoid - Tanh - ReLu & Leaky ReLu - Gelu Ever wondered why they are so important❓🤔 Let me explain it to you in this 🧵👇

A paperclip maximizer, a stochastic parrot, king Midas, a jpeg of the web, markets, democracy, an alien, a shoggoth,... So many metaphors offered for AI. I discuss these and their limitations. windowsontheory.org/2023/06/28/met…

It’s fascinating that somewhere in Princeton’s fruit fly brain scan lies Nature’s algorithm of attention, working memory, and even basic consciousness. Think of the connectome as a compiled executable binary. How much source code can we decompile from a full brain simulation? 🤔

This is way more impactful than it sounds. Python executes on a single thread regardless of how many CPU cores you have. Removing the notorious GIL (Global Interpreter Lock) means that Python can finally run true concurrency. Can't wait to see this happen.

Turns out LLMs can do some pretty esoteric things in-context! My favorite paper this week systematically studies LLM beyond natural language. GPT can do complex 2D pattern recognition, fit a sinusoid, predict robot grasp, and even control an inverted pendulum in an online