Browsing: Inference

Today, we release DSpark draft model checkpoints for three models from our LFM2.5 family: LFM2.5-1.2B-Instruct, LFM2.5-2.6B, and LFM2.5-8B-A1B. These add…

The race for faster AI inference is on, and markets gave Cerebras and its purpose-built chips a warm welcome in…

Ukraine-based app developer MacPaw has partnered up with Liquid AI to power its products with locally hosted AI models, and…

Today, we release two new encoder models on Hugging Face: LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. They match the quality of larger models…

🌍 Learn more about OlmoEarth Platform: https://allenai.org/olmoearth The OlmoEarth models are our family of Earth observation foundation models, pretrained on…

I remember watching the Hollywood mystery thriller Knives Out, leaning towards the screen, as if the case were mine to…

I’ve seen a lot when I’m working with enterprise AI teams: they nearly always blame the model when something goes…

For a long time, “scaling” in foundation models mostly meant one thing: spend more compute on pre-training and capabilities rise.…

bill era For years, making a model smarter meant increasing parameters during training. Today, flagship models like GPT 5.5 and…

Everything you learned about causal inference in academia is true. It’s also not enough, and most of us doing applied…