Supercomputer on Google Cloud 🌩️

Hey there 👋

Let’s start this week with a power-packed edition of really hot and intriguing updates from the AI-scape. Diving into Supervision, a powerful computer vision library poised to simplify building computer vision apps with just a few lines of Python. Shifting the spotlight then to the Allen Institute’s expansive open dataset engineered for training language models. We also have AudioSep (SAM for Audio basically), that can pluck out the sound you desire from the source with simple prompts. Saving the best for the last - researchers from Harvard cloned a supercomputer on Google Cloud. Who needs a cape when you've got a cloud? ☁️

Keep scrolling as we unravel it all!

This issue covers:

• Latest Developments 🌍

• Tools of the Trade ⚒️

• Hot Takes 🔥

• AI Meme of the Day 🤡

Read time: 3 mins

Latest Developments 🌍

Computer Vision Made Easy 📺

Supervision is a new computer vision library that makes building computer vision applications super easy. Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can do all of that with a few lines of Python code.

Biggest Open Dataset for training LLMs 🤯

The Allen Institute for AI (AI2) just introduced Dolma, a new open dataset for training language models. While many AI companies prefer to keep their training data under wraps, AI2's taking transparency to the next level. Not only are they releasing a free-to-use model, OLMo, but also its foundational data. It's a bold step towards open and ethical AI development.

AudioSep: Just Ask and Separate 🔊

Ever struggled to pick out a specific sound from a busy audio clip? Meet AudioSep: a breakthrough in separating sounds using simple language prompts. Unlike previous attempts, AudioSep shines in separating any sound you can name - from instruments to background noises.

Supercomputer on Cloud 🌩️

Harvard researchers teamed up with Citadel Securities and ETH Zurich to clone a supercomputer on Google Cloud! While researchers typically wait ages for precious time on limited supercomputers, this team sidestepped the queue by using Google's cloud infrastructure. Their aim? To accelerate a heart disease study without the long waits for limited supercomputer slots. By modifying software and hardware, they achieved 80% efficiency compared to traditional supercomputers.

Tools of the Trade ⚒️

• Flythroughs by Luma AI: Capture surroundings with photorealism and lifelike 3D experiences on your iPhone, and elevate your listings.

• LangTale: Simplifies LLM prompt handling with unified management, collaboration, versioning control, analytics, debugging, and more.

• FindLink: Empower your idea with AI-powered guidance, collaborative task management, personalized agents, streamlined hiring, and branding.

• Chapple: All-in-one AI platform for generating content (text, image, code, and more), with multilingual chatbot and custom prompts.

• Retinello: AI for interactive learning, transforming text into flashcards, generating personalized questions, and spaced repetition for retention.

Hot Takes 🔥

• You can be the world AI expert in your narrow field of focus, because no one else has yet figured out how to best use AI for that situation yet. ~ Ethan Mollick

• most talented people I know of working at AI aren't CS/engineering graduates. these people are creators of most used libraries, algorithms & more. ~ merve

Meme of the Day 🤡

That’s all for today!

See you tomorrow with more such AI-filled content. Don’t forget to subscribe and give your feedback below 👇

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