AI/ML

The New York Times has thrown down the gauntlet, suing OpenAI and Microsoft for copyright infringement. Others are complaining about recreated images…

An open source approach to locally record and enable searching everything you view on your Apple Silicon. - jasonjmcghee/rem: An open source approach to locally record and enable searching everythi...

Insight into the hidden ecosystem of autonomous chatbots and data scrapers crawling across the web

“Function calling” with ChatGPT is ChatGPT’s best feature since ChatGPT.

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archived 5 Nov 2023 01:42:48 UTC

Music-Map is the similar music finder that helps you find similar bands and artists to the ones you love.

Mistral AI is the most exciting AI research lab at the moment. They’ve now released two extremely powerful smaller Large Language Models under an Apache 2 license, and have a …

A GroqLabs AI Language Interface

Contribute to apple/ml-ferret development by creating an account on GitHub.

We are building a future where anyone can make great music. No instrument needed, just imagination. From your mind to music.

If you want to build a RAG-based tool, first build search.

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs - SJTU-IPADS/PowerInfer: High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

Apple researchers have introduced new techniques to create photorealistic 3D avatars from video and enable advanced AI systems to run efficiently on devices with limited memory, such as an iPhone or iPad.

Convert expensive LLM prompts into fast, cheap fine-tuned models

Three Stanford graduate students built an AI tool that can find a location by looking at pictures. Civil rights advocates warn more advanced versions will further erode online privacy.

Agents Capable of Self-Editing Their Prompts / Python Code - aymenfurter/microagents: Agents Capable of Self-Editing Their Prompts / Python Code

Discussions: Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments) Translations: Simplified Chinese, French, Korean, Russian, Turkish This year, we saw a dazzling application of machine learning. The OpenAI GPT-2 exhibited impressive ability of writing coherent and passionate essays that exceed what we anticipated current language models are able to produce. The GPT-2 wasn’t a particularly novel architecture – it’s architecture is very similar to the decoder-only transformer. The GPT2 was, however, a very large, transformer-based language model trained on a massive dataset. In this post, we’ll look at the architecture that enabled the model to produce its results. We will go into the depths of its self-attention layer. And then we’ll look at applications for the decoder-only transformer beyond language modeling. My goal here is to also supplement my earlier post, The Illustrated Transformer, with more visuals explaining the inner-workings of transformers, and how they’ve evolved since the original paper. My hope is that this visual language will hopefully make it easier to explain later Transformer-based models as their inner-workings continue to evolve.

Over the past 15 years or so, libraries around the world have de-emphasized cataloguing. While budgetary concerns and technological efficien...

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Dust is an AI assistant that safely brings the best large language models, continuously updated company knowledge, powerful collaboration applications, and an extensible platform to your team's fingertips.