Arcee Blog

What a week here at Arcee AI. On the heels of Arcee-Scribe yesterday, today we bring you Arcee-Nova – our highest-performing open source model... Evaluated on the same stack as the OpenLLM Leaderboard 2.0, making it the top-performing open source model tested on that stack. Its performance approaches that of

Less than a year after emerging from stealth, Arcee AI has hit the headlines – announcing a major Series A, the arrival of Chief Evangelist Julien Simon, and the launch of a new cloud platform.

Need a guide or just some inspiration for your writing tasks – especially those that require a dose of creativity? Get your artistic juices flowing with the latest model by Arcee AI.

Arcee AI is enabling small language models with a $24M Series A funding round and the launch of Arcee Cloud. This innovative platform offers a hosted SaaS version of their AI, complementing the in-VPC Arcee Enterprise.

Here at Arcee AI, we're the pioneers of training performant and efficient LLMs with Model Merging... And now we bring you *yet another* cutting-edge technique that also dramatically optimizes your training and improves your models.

So you want to train a custom language model, and you do have the requisite large set of text data. But how do you know that the data is *really actually ready* for model training? Our researchers here at Arcee AI tell you what to look out for.

Arcee Agent is yet another Arcee model punching above its weight: it's just 7B (initialized from Qwen2-7B) and outranks much larger models. Try it out for function calling and tool use!

Adapting an LLM to a specific domain might sound straightforward, but it in fact opens a Pandora's box of challenges. Our research team explains the shortfalls of some of the most common techniques.

Looking for proof that Small is the new Big when it comes to language models? Look no further than the model we've just dropped here at Arcee AI: you get top-notch results with just 7B parameters.