🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Let’s scale up your training jobs! 🚀 In this episode of our Weekly Walkthrough, Matthew Persons will show you how you can scale any training job from your local PC straight to the cloud! We’ll kick things off on a cluster using one of our Deepseek R1 recipes. 🎥 Watch now:

Introducing HallOumi, a state-of-the-art claim-verification (hallucination detection) family of models, outperforming DeepSeek R1, OpenAI o1, Google Gemini 1.5 Pro, and Anthropic Sonnet 3.5 at only 8 billion parameters! Hallucinations are frequently cited as one of the most

360 Spotlight: Oumi 🌟 Oumi Co-Founder Manos Koukoumidis joins Nicole Petallides for an inside look at the open source A.I. platform, its growth prospects, and its "Halloumi" fact checking model: 🎙️ “We want to build something that’s going to be the fabric of innovation.”

Let's go 🚀

Meet HallOumi, the AI lie detector!

🚀 New open-weights model king? Meta just released the #Llama4 herd of models: Scout, Maverick, and Behemoth. 👀 They come with some seriously impressive specs: multi-modal (early fusion), multi-lingual (200 languages during pre-training), extremely long context window (up to

🦙 Interested in fine-tuning Llama 4, but don’t know where to start? 👀 Take a look at our quick walkthrough on how to fine-tune Llama 4 with Oumi! Jeremy Greer will get you started in just a few lines of code. 🎥 youtube.com/watch?v=Rsorf8…

Another week, another conference! Matthew Persons , Kostas , and Will are  heading to Meta's LlamaCon 2025 tomorrow. 🦙 We can’t wait to see you there!

We're launching our first-ever Builders in Residence Program for practical, application-driven AI researchers (PhDs, recent grads, industry). Fully remote (EU, US, CA), ~3-month fellowship starting June 2025. Learn more & Apply here: job-boards.greenhouse.io/mozillaai/jobs…

🆕 Oumi Labs champions truly transparent AI development by opening not just model weights but training data, code, and collaborative processes - Manos Koukoumidis 👉 gradientflow.substack.com/p/why-this-ai-…

(1/5) We’ve never enjoyed watching people chop Llamas into tiny pieces. So, we’re excited to be releasing our Low-Latency-Llama Megakernel! We run the whole forward pass in single kernel. Megakernels are faster & more humane. Here’s how to treat your Llamas ethically: (Joint

Falcon-H1 & Falcon-E are now on Oumi — train, fine-tune (SFT, LoRA, QLoRA) & deploy LLMs with ease! Quickstart: oumi.ai/docs/en/latest… Tutorials: oumi.ai/docs/en/latest… Falcon-H1: github.com/oumi-ai/oumi/t… Falcon-E: github.com/oumi-ai/oumi/t… #FalconH1 #FalconE #LLM #Oumi

Our view on test-time scaling has been to train models to discover algos that enable them to solve harder problems. Amrith Setlur & Matthew Yang's new work e3 shows how RL done with this view produces best <2B LLM on math that extrapolates beyond training budget. 🧵⬇️

So excited to announce the DCVLR (Data Curation for Vision-Language Reasoning) competition at NeurIPS 2025, led by Oumi and sponsored by Lambda! 🌟open-data 🌟 🤖 open-models 🤖 💻 open-source 💻 💪anyone can compete for free 💪 dcvlr-neurips.github.io 🧵 1 / n

🚀 Exciting news! Falcon-H1 & Falcon-E are now on Oumi — the open-source platform for training, fine-tuning (SFT, LoRA, QLoRA), and deploying LLMs anywhere: laptops, cloud, or clusters. Start building: github.com/oumi-ai/oumi/t… #FalconH1 #FalconE #OpenSourceAI #LLM