Hello World! Excited to be out of stealth mode! Let me introduce you to our Liquid team: Joscha Bach Joscha Bach (MIT, Harvard, Intel) Jimmy Smith Jimmy Smith (Stanford) Stefano Massaroli Stefano Massaroli (MILA) Paul Pak Paul Pak (NASA, UW-Madison) Noel Loo

Met with the whole Liquid AI team down in Menlo Park today to jam on company building and the future of AI. Such an inspirational group of big thinkers; I can't wait to see how they change the AI game. Very happy investor!

Liquid AI will host a private social event NeurIPS Conference on Thursday, Dec 14th, 7-9pm CST. RSVP here: forms.gle/SLfvvqv5oRPF23… Also, check out our team's contributions: liquid.ai/blog/liquid-at…

I’m in New Orleans NeurIPS Conference all week with Liquid AI. We are hiring the brightest researchers and builders. DMs open. You can also apply to come to our event on Thursday evening:

Today we announce our collaboration with Capgemini to build next-generation AI solutions for enterprises. For the last months, we've been working on this together and now following Capgemini's participation in Liquid AI's successful $37.6m seed round, we are committed to

Today we are proud to announce our partnership with ITOCHU-CTC, the largest system integrator in Japan, to bring to market sustainable edge AI capabilities powered by Liquid AI’s learning systems technologies! ctc-g.co.jp/en/company/rel… As the Japanese Nikkei 225 reaches its

Today we introduce Liquid Foundation Models (LFMs) to the world with the first series of our Language LFMs: A 1B, 3B, and a 40B model. (/n)

Just the tip of the iceberg 🚀

We raised a $250M Series A led by AMD Ventures to scale Liquid Foundation Models and accelerate their deployment on-device and at enterprises liquid.ai/blog/we-raised…

Congratulations, Liquid AI! AMD is proud to support Liquid AI’s innovative approach to AI models and its next phase of growth.

Today, we release the 2nd generation of our Liquid foundation models, LFM2. LFM2 set the bar for quality, speed, and memory efficiency in on-device AI. Built for edge devices like phones, laptops, AI PCs, cars, wearables, satellites, and robots, LFM2 delivers the fastest

Try LFM2 with llama.cpp today! We released today a collection of GGUF checkpoints for developers to run LFM2 everywhere with llama.cpp Select the most relevant precision for your use case and start building today. huggingface.co/LiquidAI/LFM2-…

Today, we release LEAP, our new developer platform for building with on-device AI — and Apollo, a lightweight iOS application for vibe checking small language models directly on your phone. With LEAP and Apollo, AI isn’t tied to the cloud anymore. Run it locally when you want,

Introducing LFM2-VL — our new generation of efficient vision-language models for real-world deployment, from smartphones and laptops to wearables and embedded systems. 🧵

Big step for on-device AI: Liquid AI’s Edge Platform, LEAP, now supports AMD Ryzen™ and Ryzen AI™ processors, bringing powerful, low-latency AI directly to laptops. Here’s what it means for developers and enterprises 🧵