Arcee Blog

With Arcee Orchestra, you’ll transform complexity into simplicity, see faster collaboration across departments, and ultimately drive business growth—one automated workflow at a time.

MergeKit changed the game when it came to model merging, and today we're excited to bring you some game-changing updates to MergeKit–with what we're calling MergeKit v0.1. Starting today, you'll be able to unlock the power of model merging more than ever, with enterprise hosting, premium features, and expert support.

Discover how knowledge distillation makes AI models faster, more efficient, and cost-effective without sacrificing performance. Learn how Arcee AI leverages this technique to optimize models like Virtuoso Lite and Virtuoso-Medium-v2, delivering powerful AI solutions with lower computational demands. Explore the benefits, use cases, and how your organization can implement knowledge distillation to scale AI performance while reducing costs.

Here at Arcee AI, we're going beyond the hype and speculation surrounding the DeepSeek R-1 release. We're doing what we always do: work hard on training models. Soon we will deliver you disillations of R-1, and in the meantime, we're bringing you two distilled versions (10B, 32B) of DeepSeek-V3.

The days of general-use large language models (LLMs) in companies could be coming to an end. The new reality: the use of enterprise LLMs and/or small language models (SLMs) is on the rise, as businesses realize that that impactful, efficient AI must be based on tailored models that have been customized to their own data and use cases.

The AI landscape is crowded with ambitious startups, each claiming to revolutionize the way we live, work, or analyze data. Yet, amid the buzzwords and

Explore the immense capabilities of large language models (LLMs) like GPT-4 and PaLM, which leverage vast datasets and billions of parameters to generate human-like language, solve complex tasks, and drive diverse AI applications.

Arcee AI and Intel Gaudi2 make for a powerful combination when it comes to advancing financial insights via LLMs. Learn how the Arcee AI team used Intel's Habana Gaudi2 technology to train two advanced models with 10 billion tokens of financial data, leading to nuanced insights for analysts, investors, and other stakeholders.

First, we pioneered small language models (SLMs). Now, we're elevating them to their full potential, leveraging them in our end-to-end, easy-to-use agentic AI workflow platform called Arcee Orchestra. Here's a look at how we got started with SLMs, and how we're now taking them to the next level.