AI/ML

AI/ML

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AI #44: Copyright Confrontation — LessWrong
AI #44: Copyright Confrontation — LessWrong
The New York Times has thrown down the gauntlet, suing OpenAI and Microsoft for copyright infringement. Others are complaining about recreated images…
·lesswrong.com·
AI #44: Copyright Confrontation — LessWrong
Alchemite™ Analytics machine learning platform
Alchemite™ Analytics machine learning platform
Alchemite™ Analytics accelerates innovation through applied machine learning. Get deep insights into real-world, sparse and noisy, experimental and process data, Reduce the number of experiments required to achieve your goals by 50-80%.
·intellegens.com·
Alchemite™ Analytics machine learning platform
Many options for running Mistral models in your terminal using LLM
Many options for running Mistral models in your terminal using LLM
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 …
·simonwillison.net·
Many options for running Mistral models in your terminal using LLM
GroqChat
GroqChat
A GroqLabs AI Language Interface
·chat.groq.com·
GroqChat
apple/ml-ferret
apple/ml-ferret
Contribute to apple/ml-ferret development by creating an account on GitHub.
·github.com·
apple/ml-ferret
Suno AI
Suno AI
We are building a future where anyone can make great music. No instrument needed, just imagination. From your mind to music.
·suno.ai·
Suno AI
Apple’s latest AI research could completely transform your iPhone
Apple’s latest AI research could completely transform your iPhone
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.
·venturebeat.com·
Apple’s latest AI research could completely transform your iPhone
The Illustrated GPT-2 (Visualizing Transformer Language Models)
The Illustrated GPT-2 (Visualizing Transformer Language Models)
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.
·jalammar.github.io·
The Illustrated GPT-2 (Visualizing Transformer Language Models)
The Revenge of the Cataloguers
The Revenge of the Cataloguers
Over the past 15 years or so, libraries around the world have de-emphasized cataloguing. While budgetary concerns and technological efficien...
·go-to-hellman.blogspot.com·
The Revenge of the Cataloguers
Beam
Beam
Press a hotkey to chat anywhere on your Mac. No subscription fees. No logins. Your own API key.
·getbeam.ai·
Beam
Dust - Secure AI assistant with your company's knowledge
Dust - Secure AI assistant with your company's knowledge
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.
·dust.tt·
Dust - Secure AI assistant with your company's knowledge