Stable Diffusion concepts library huggingface.co/sd-concepts-li… textual inversion is amazing - can train a custom word vector (not otherwise reachable by english text) to mean a concept, based on examples. Opens up many possibilities of condensing objects/styles into special tokens 🚀

1/ I'm thrilled to announce the launch of Orchard, a fully-featured text editor with an AI chat interface designed to enhance your writing and topped off with an AI autocomplete experience (Copilot for writing)! orchard.ink

Combine Rosetta energies and ML to design recombination libraries of enzymes. biorxiv.org/content/10.110…

Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: openai.com/product/gpt-4

At Microsoft Research we had early access to the marvelous #GPT4 from OpenAI for our work on Bing. We took this opportunity to document our experience. We're so excited to share our findings. In short: time to face it, the sparks of #AGI have been ignited. arxiv.org/abs/2303.12712

So exciting to share our new work! AGILE for AI guided ionizable lipid design. Can’t wait to see its application in mRNA therapeutics

Hello Mem 👋 just setting up my Twitter flow. Here's my validation code: Fa2XGQ3VEXgcXHcnxqSQ

🎉Exciting Update of scGPT 🎉: After receiving significant attention from the community since our April release, we're thrilled to announce the first major update for scGPT - a foundation model for single-cell multi-omic data. This update integrates community feedback and

This is so true

Looking forward for the webinar tomorrow!

Glad and super excited about this collaboration with #CELLxGENE. Now you can access scGPT embeddings directly from the census API online, and enjoy zero-shot reference mapping and other tasks seamlessly @CZIScience Human Cell Atlas Jonah Cool

Thrilled to release new tutorials for zero-shot applications using scGPT, and a new continual pretrained model ckpt for cell embedding related tasks! 🎉Great thanks to Kuan Pang for creating these. Please find at github.com/bowang-lab/scG…

Exactly, the raw “thought string” in the mind is the actual next tokens. The text written actually skips contents in between. It will be interesting if a way to collect the raw data

Amazing work and congrats JunMa

I am pretty sure the biotech chatGPT time is coming 💪

Thrilled to announce that our AGILE framework, an AI-guided LNP development for mRNA delivery, is now published in Nature Communications! 🎉 This is a collaborative work with @BowenLi_lab. (Re-)Introducing the AGILE Platform: A Deep Learning-Powered Approach to Accelerate LNP Development

🚀 We're thrilled to introduce Orthrus 🧬🐕—a groundbreaking mature RNA foundation model designed to push the boundaries of RNA property prediction! 🔬 What is Orthrus? Orthrus is a Mamba-based RNA foundation model, pre-trained using a novel self-supervised contrastive learning

Big congrats to Phil Fradkin , and such a great fitting name Orthrus!🎉