Arcee Blog

Companies are becoming increasingly aware of the potential business value of open source large language models, which are quickly approaching the performance of their closed source counterparts.

Get ready for a game-changer when it comes to AI for complex problem-solving & decision making, with Arcee AI's Mixture of Agents architecture release: Arcee Swarm. Rather than relying on one LLM to handle all tasks, Arcee Swarm routes your query to a collection of smaller expert models.

After questions of AI ROI have emerged, enterprises should look at private hybrid AI deployments to boost productivity and services—in economical fashion.

OpenAI, Google and Meta are all investing in more affordable alternatives to large language models.

Direct Preference Optimization (DPO) is one of the top methods for fine-tuning LLMs... It's available on our model training platform - and today, we bring you support for DPO on our training APIs.

Coming on the heels of Arcee-Spark – our incredibly performant 7B model – we now bring you Llama-Spark. Built on Llama-3.1-8B, Llama-Spark is a conversational AI that you'd never suspect is just an 8B parameter model.

How much do you know about Large Language Models (LLMs), the tech behind AI-powered assistants? We give you the basics on both open source and closed source LLMs.

Read the DistillKit v0.1 by Arcee AI Technical Paper: our new open-source tool that's set to change how we create and distribute Small Language Models (SLMs).

First, Arcee AI revolutionized Small Language Models (SLMs) with Model Merging and the open-source repo MergeKit. Today we bring you another leap forward in the creation and distribution of SLMs with an open soure tool we're calling DistillKit.