How Model Routing Overcomes 3 Key AI Model Adoption Challenges

Learn how AI model routing solves key challenges in AI adoption by cutting costs, improving performance, and simplifying model selection. Discover how businesses use routing to deploy the right model for every task.

Agentic AI

Apr

2025

min read

AI Agents in Research: Use Cases & Benefits

Explore how AI research agents revolutionize enterprise research by automating market analysis, competitor tracking, and sentiment insights.

Virtual Agents vs. AI Agents: Which One Does Your Business Need?

Learn what virtual agents are, how they differ from AI agents, and how businesses use them to automate customer support, cut costs, and scale efficiently.

What is Agent Assist, and What Are Some Alternatives?

Discover how agent assist can boost customer service efficiency with real-time AI support. Get faster resolutions, lower costs, and happier customers. Learn key benefits, top alternatives, and how to choose the right AI solution for your business.

Model Routing for Maximum Savings

Facing growing, unpredictable AI budgets? Arcee Conductor intelligently routes prompts to the optimal AI model based on complexity, cutting costs by up to 99% per prompt without sacrificing quality. Beyond a simple LLM router, it offers a comprehensive catalog of both SLMs and LLMs.

Work with the Right AI Model, Every Time: Introducing Intelligent Model Routing with Arcee Conductor

Are you sending all of your prompts to a single LLM? We've heard from many companies and individual users that they don't have time to constantly evaluate which model to use for each of their use cases. That's why we built Arcee Conductor, an intelligent model router that transforms your AI experience by ensuring you always get superior results at the lowest possible cost – and always tailored to each unique prompt or query.

Intelligent Process Automation (IPA): How It Works and Why It Matters

For mid-market and enterprise leaders, the key to automation is implementing it for maximum impact. Intelligent automation can drive annual savings of up to 40% and cut process times by 70%. This guide explores what intelligent process automation is, how it differs from traditional methods, and whether it’s the right fit for your business.

Smart Marketing With AI Agents for SEO, Email, and More

Discover how AI marketing agents revolutionize enterprise marketing by analyzing data, making real-time decisions, and automating tasks to scale smarter. Learn how they enhance, not replace, your team to drive efficiency and impact.

Automation vs. AI Agents: How to Choose the Right Solution for Your Business in 2025

Discover the key differences between traditional automation and AI agents in 2025. Learn how businesses are leveraging AI-driven workflows to enhance efficiency, decision-making, and adaptability. Find out which approach, rules-based automation or AI-powered automation, is the right fit for your business strategy.

Why Agentic AI Tools and AI Agent Platforms Need Small Language Models (SLMs)

Why does the model or (models) used in your agentic AI workflows matter? In this article we explain why the choice of models is key to a successful agentic AI strategy, and why small language models (SLMs) are an ideal solution.

Open-Source SLMs with Advanced Reasoning & Super Speed: Meet Arcee-Maestro-7B-Preview and Arcee-Blitz

Today we bring you exciting updates on two small language models (SLMs) we've been working on: our first reasoning model, Arcee-Maestro-7B-Preview, and a fast and efficient Mistral-based DeepSeek distillation we call Arcee-Blitz.

Arcee Orchestra: Elevating Enterprise Automation with Agentic AI Workflows

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.

Meet MergeKit v0.1: Expanded Model Support, Arcee Fusion, & Multi-GPU Acceleration

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.

How Knowledge Distillation Works and When to Use It

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.

Virtuoso-Lite & Virtuoso-Medium-v2: Distilling DeepSeek-V3 into 10B & 32B Small Language Models (SLMs)

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: working hard on training models. Soon we will deliver you distillations of R-1, and in the meantime, we're bringing you two distilled versions (10B, 32B) of DeepSeek-V3.

How AI Can Improve Customer Experience

Enhance customer experience with AI-powered solutions that personalize interactions, anticipate needs, and automate support. Discover how AI agents, chatbots, and predictive analytics improve response times, streamline operations, and boost customer satisfaction. Learn how businesses leverage AI to transform CX and deliver seamless, proactive customer journeys.

Automation Robots 101: What They Are and How to Get Started

Discover how AI-powered digital agents redefine automation by streamlining workflows, providing personalized customer service, and enabling predictive maintenance. Explore the future of intelligent, adaptive systems that operate seamlessly in dynamic environments.

Top AI Agent Builders: Features, Benefits & Pricing

Discover how AI agent builders can transform your business in 2025. This article explores what AI agent builders are, their benefits, top platforms, and tips for choosing the right one for your organization. Stay ahead in the AI revolution!

Should You Use Enterprise LLMs for Your Organization?

We all know that large language models (LLMs) power many of the most well-known AI tools–but are they the ideal solution for enterprises, which face challenges like handling sensitive data, integrating with complex systems, and ensuring that solutions provide relevant and up-to-date information tailored to specific industries? We take a closer look, and show that enterprise LLMs AND small language models (SLMs) can be customized and scaled so that businesses can implement the most cutting-edge AI.

7 Key Advantages of SLM Over LLM for Businesses

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.

How to Build a Custom AI Agent for Your Business

AI agents are the big AI trend this year, with a growing number of companies getting them into production. Check out our article to learn everything you need to know about getting started with building them and quickly getting ROI.

Arcee AI & Intel Gaudi2: Training a Financial Insights Model Using Open Source Models

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.

Taking the Stage: Arcee Orchestra

Learn how we're leveraging small language models (SLMs) to power agentic AI workflows, in our new end-to-end, easy-to-use platform called Arcee Orchestra.

Arcee AI, From Small Language Model Pioneer, to Pioneering SLM-Powered Agentic AI Workflows

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.

Announcing the Arcee Model Engine Public Beta

Get direct access to the small language models (SLMs) that power Arcee Orchestra, our new end-to-end, SLM-powered agentic AI platform. Sign up for the public beta of the Arcee Model Engine today.

Getting Started with AI Clinical Workflows

AI is transforming healthcare by optimizing clinical workflows, reducing inefficiencies, and improving patient outcomes. Learn how AI tools like Arcee Orchestra streamline care delivery and decision-making.

AI Agents: The Complete Guide for Any Business

There's no doubt in our mind that 2025 will be the year of AI agents: many companies have already starting implementing them, and a growing number of AI providers are offering a variety of agents. Here's your primer on what you ned to know to get started.

Building an Effective Enterprise Automation Strategy

Discover how enterprise automation can revolutionize your workflows, boost efficiency, and reduce costs. Learn about the latest strategies and tools, with real-world examples.

Arcee AI's Role in the INTELLECT-1 Open Source Revolution

The Arcee AI research team is honored to be among the contributors to the world's first fully decentralized training of a large language model (LLM). Read about the game-changing project led by Prime Intellect, and how we brought our expertise to the post-training.

Six Types of AI Agents to Automate Your Workflows in 2025

How can you use AI to deliver real business results fast? As we head into 2025, Generative AI alone won't cut it. Learn about how adding AI agents to your strategy is the new key to getting ROI from your AI.

Everything You Need to Know About Small Language Models

As we approach the end of 2024, it's clear that the rise of small language models (SLMs) has been one of the defining developments in AI this year. For those of you still stuck in LLM-world, here's a crash course on SLMs.

Introducing Arcee-VyLinh - A Powerful 3B Parameter Vietnamese Language SLM

Today Arcee AI makes our latest contribution to AI in underserved global languages with the release of a 3B Vietnamese SLM, Arcee-VyLinh.

7 Billion Reasons to Choose Arcee-Meraj-Mini: The Open-Source Arabic SLM for All

Hot on the heels of our top-performing 72B Arabic-language model Arcee-Meraj, we bring you a 7B version: Arcee-Mini-Meraj, which boasts exceptional performance in instruction-following, generating long texts, structured data understanding, and generating structured outputs.

What is Agentic AI? Is It the Next Big Thing?

In the 2024 McKinsey Global Survey on generative AI, 65% of respondents reported that their organizations regularly use GenAI. The adoption has nearly doubled in less than a year. You’re most likely using generative AI personally or in your company for everything from straightforward tasks like getting help writing

Introducing SuperNova-Medius: Arcee AI's 14B Small Language Model That Rivals a 70B

First came our flagship 70B SuperNova, followed by the 8B SuperNova-Lite. Today we add to this family of superpower Small Language Models with the release of the 14B SuperNova-Medius.

Meet Arcee-SuperNova: Our Flagship 70B Model, Alternative to OpenAI

Meet Arcee-SuperNova: a groundbreaking model with state-of-the-art abilities in instruction-following and strong alignment with human preferences.

Arcee-SuperNova: Training Pipeline and Model Composition

We trained Arcee SuperNova-70B and Arcee SuperNova-8B to be a generally intelligent Llama-3.1-405B derivatives using intelligent distillation, novel post-training, and model merging techniques.

Why AI is So Expensive

Artificial intelligence (AI) has become a fundamental part of business innovation across industries. The potential for AI software is huge—from automating mundane tasks to generating insights that drive strategic decisions. Yet, despite its growing importance, you might hesitate to implement AI solutions in your company. And it’s most

Getting ROI From Your GenAI: A Look at The High Cost of Generative AI for Enterprises

A growing number of enterprises are realizing that the cost of Generative AI can be exorbitant. This article looks at why the price can be so high and unpredictable, and offers advice on how to implement GenAI with a cost-effective approach.

How Much Energy Does AI Use?

Artificial Intelligence (AI) enables businesses to solve complex problems faster than ever. However, as decision-makers consider implementing AI solutions, one key question arises: How much energy does AI actually consume? The answer is not straightforward. AI's energy usage depends on factors that include:* The size of the model* The infrastructure

The Power of Non-English LLMs: Meet our Arabic model, Arcee-Meraj (معراج)

We've taken our groundbreaking general-purpose model, Arcee Nova, and enhanced it for Arabic – leading to an Arabic-language LLM that's enterprise-ready, with unprecedented text-generation and comprehension capabilities.

How to Choose Between Open Source and Closed Source LLMs: A 2024 Guide

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.

Arcee Swarm: Unlocking AI Expertise Through Specialization

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.

Do Direct Preference Optimization (DPO) with Arcee AI's training platform

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.

Arcee-Spark Gets an Upgrade: Introducing Llama-Spark!

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.

Understanding Large Language Models: Open Source vs. Closed Source LLMs

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.

Distilling LLMs with Compact, Powerful Models for Everyone: Introducing DistillKit by Arcee AI

Arcee.ai is thrilled to announce the release of DistillKit, our new open-source tool that's set to change how we all create and distribute Small Language Models (SLMs).

DistillKit v0.1 by Arcee Labs: The Technical Paper

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).

Train, Merge, & Domain-Adapt Llama-3.1 with Arcee AI

Get Llama-3.1 but better – customize the OS model for all your needs, using Arcee AI's training, merging, and adaptation techniques and tools. Our team created this guide to get you started.

Partner Spotlight: Arcee AI 🤝 MongoDB

Joint customers use MongoDB & Arcee AI to take data from JSON files and turn it into world-class custom language models with practical business use cases–in just a few clicks.

Arcee AI Releases Two Open Datasets

Today, we have made two important datasets publicly available: 1. Agent Data: This dataset was instrumental in training Arcee-Agent. It contains Salesforce-xlam, agent-flan, and a custom version of Glaive-FC2 with 20k extended samples that call for the model to do tool use sequentially within the same response, along with Magpie-Pro

Introducing Arcee-Nova

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

Our Series A, Julien Simon Joins the Team, & Arcee Cloud Goes Live

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.

Introducing Arcee-Scribe: Your Creative Writing Partner

Need a guide or some inspiration for your writing tasks–especially those that require a bit of creativity? Check out Arcee-Scribe by Arcee AI.

Optimizing LLM Training with Spectrum

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.

How Do I Prep my Data to Train an LLM?

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.

Introducing Arcee Agent: A Specialized 7B Language Model for Function Calling and Tool Use

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!

The Hidden Challenges of Domain-Adapting LLMs

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.

Arcee Spark: A Compact & Efficient 7B Parameter Language Model

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.

Introducing the Ultimate SEC LLM: Revolutionizing Financial Insights

We built Llama-3-SEC upon the powerful Meta-Llama-3-70B-Instruct model, with the goal of providing unparalleled insights and analysis capabilities for financial professionals, investors, researchers, and anyone working with SEC filings and related financial data.

Arcee Cloud: The LLM Solution for Everyone

We're thrilled to announce that we’re launching Arcee Cloud, a fully hosted SaaS offering that makes world-class LLM production accessible to all – in an easy-to-use platform for Training, Merging, and Deploying custom language models.

Use MergeKit to Extract LoRA Adapters from any Fine-Tuned Model

We show you how to use Arcee's MergeKit to extract LoRA adapters from fine-tuned models, then leverage the Hugging Face Hub to create a library of general and task-specific LoRA adapters.

Evolutionary Model Merging For All

We've been focused on developing this groundbreaking technique for the community, and we're now excited to announce the launch of this state-of-the-art functionality in MergeKit.

Why Methods Like QLoRA Fall Short in Domain Knowledge Injection

Arcee's research shows that the Standard Continual Pre-Training (CPT) approach performs better than QLORA-based CPT.

How to Merge Llama3 Using MergeKit

And what do we do at Arcee when an exciting new model drops? We MERGE IT on MergeKit! We walk you through the process and share the initial results.

Arcee/Mergekit launch Model Merging Hackathon

Arcee & MergeKit advance model merging innovations with launch of MergeKit Hackathon, co-sponsored by AWS. Submit your model merging research, experiments, and results for the chance to win cash prizes!

Arcee releases new repo of LLMOps tools

Check out our new Model-Tools repository on Github: a collection of custom tools, scripts and more to boost your LLMOps capabilities.

Arcee launches The Small Language Show, first episode goes deep on Model Merging

It’s the place to be for anyone who wants to learn about the next big thing in LLMs: The SMALL Language Show, live-streaming biweekly and bringing you chats with the world's top experts in LLM and SLM research.

Case Study: Innovating Domain Adaptation through Continual Pre-Training and Model Merging

We show how Arcee uses the most innovative Continual Pre-Training and Model Merging techniques to deliver high-quality domain-specific language models at a fraction of the cost of our competitors–using Medical and Patent data.

What are the top 5 industries ripe for SLM adoption?

LLMs are so 2023, and SLMs (Small Language Models) are the future of enterprise GenAI. Our Solutions Engineering Lead Tyler Odenthal wrote about how domain-adapted SLMs are being used across diverse sectors ranging from law and healthcare to education and customer service.

Arcee AI celebrates seed round & merger with mergekit

The first quarter of 2024 isn’t over yet, but we’ve already had epic developments at Arcee – with TechCrunch announcing our seed round, and our decision to merge with mergekit.

Arcee AI + mergekit: our commitment to open source

On Day 3 of March Merge Madness we’re striking a bit of a serious note, with a discussion about our very serious commitment to the open source community.

How model merging fits into Arcee's SLM system

Why the state-of-the-art technique works so well for our Small Language Model (SLM) system and domain-specific tasks

March is Merge Madness

To celebrate Arcee’s recent merger with mergekit, we’re bringing you a month of resources and knowledge on model merging.

Arcee AI takes leading role in model merging innovations

Arcee's recent merger with mergekit has made us a leader in model merging research and development. Check out our video interview with mergekit Founder Charles Goddard, who's come onboard our team as a Senior Research Engineer.

When should I use LLMs vs SLMs?

When it comes to the world of language models and Gen AI, a key question for companies looking to adopt these innovations is which model(s) to use. As if it’s not already complicated enough with the plethora of foundational models out there, it is now even more daunting

Introducing Arcee’s SLM Adaptation System

At Arcee, we believe in a world of smaller, specialized models that we call SLM’s. The “S” stands for smaller, specialized, scalable, and secure. These models are grounded on your data, run entirely in your own environment, and are infinitely scalable for all your use cases.

Arcee AI and mergekit unite

Several months ago, I stumbled upon an innovative technique in the world of language model training known as Model Merging. This SOTA approach involves the fusion of two or more LLMs into a singular, cohesive model, presenting a novel and experimental method for creating sophisticated models at a fraction of

What is an SLM (Small Language Model)?

The world of LLMs (Large Language Models) has cooked up a storm in recent years, with the rise of OpenAI’s GPT and the increasing proliferation of open source language models. Much excitement abounds, and virtually everyone and their grandma are mesmerized by the fact that a chat-based LLM can

24 AI influencers to follow for 2024

2024 is poised to be the year of AI adoption across businesses and the consumer sector. At Arcee, our goal is to continue sharing insights from both our team and other domain experts, so that we empower every business with the knowledge and ability to leverage this phenomenal technology.

Langchain+Arcee: build domain models with greater flexibility

Combining Arcee’s generators and retrievers with Langchain allows you to build almost any AI application you wish, from using retrievers to fully autonomous systems using chains and agents.

Arcee AI Releases Commercial Product to Contextualize Language Models

Emerging out of intensive research and development, the Arcee team is excited to release our commercial product to contextualize language models in the Arcee platform.

Arcee Exits Stealth with Open Core LLMs

Arcee is excited to exit stealth with an open core to contextualize domain adapted language models (DALMs).

Introducing Arcee.ai: Elevating Enterprise Language Models with Domain Adaptation (Meet DALM)

In a rapidly evolving digital landscape, the power of language models has emerged as a driving force behind the transformation of various industries. Large Language Models (LLMs) like ChatGPT have showcased their incredible potential in comprehending natural language and excelling across a multitude of tasks. However, the journey towards harnessing

The Pros and Cons of RAG Systems and Fine-tuning in Natural Language Processing

Introduction: Natural Language Processing has seen remarkable advancements in recent years, enabling machines to comprehend and generate human language effectively. Two popular approaches used in NLP are RAG (Retrieval-Augmented Generation) systems and fine-tuning. In this blog post, we will delve into the strengths and weaknesses of both approaches to gain

Unveiling DALM: Revolutionizing Enterprises with Domain Adapted Language Model Systems

In the rapidly evolving landscape of Generative AI, the quest for more refined and contextually aware language models has led to our development of the Domain Adapted Language Model System (DALM). This innovation promises to reshape how enterprises harness the power of language models tailored to their specific domains.

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Blog

Work with the Right AI Model, Every Time: Introducing Intelligent Model Routing with Arcee Conductor

How Model Routing Overcomes 3 Key AI Model Adoption Challenges

AI Agents in Research: Use Cases & Benefits

Virtual Agents vs. AI Agents: Which One Does Your Business Need?

What is Agent Assist, and What Are Some Alternatives?

Model Routing for Maximum Savings

Work with the Right AI Model, Every Time: Introducing Intelligent Model Routing with Arcee Conductor

Intelligent Process Automation (IPA): How It Works and Why It Matters

Smart Marketing With AI Agents for SEO, Email, and More

Automation vs. AI Agents: How to Choose the Right Solution for Your Business in 2025

Why Agentic AI Tools and AI Agent Platforms Need Small Language Models (SLMs)

Open-Source SLMs with Advanced Reasoning & Super Speed: Meet Arcee-Maestro-7B-Preview and Arcee-Blitz

Arcee Orchestra: Elevating Enterprise Automation with Agentic AI Workflows

Meet MergeKit v0.1: Expanded Model Support, Arcee Fusion, & Multi-GPU Acceleration

How Knowledge Distillation Works and When to Use It

Virtuoso-Lite & Virtuoso-Medium-v2: Distilling DeepSeek-V3 into 10B & 32B Small Language Models (SLMs)

How AI Can Improve Customer Experience

Automation Robots 101: What They Are and How to Get Started

Top AI Agent Builders: Features, Benefits & Pricing

Should You Use Enterprise LLMs for Your Organization?

7 Key Advantages of SLM Over LLM for Businesses

How to Build a Custom AI Agent for Your Business

Arcee AI & Intel Gaudi2: Training a Financial Insights Model Using Open Source Models

Taking the Stage: Arcee Orchestra

Arcee AI, From Small Language Model Pioneer, to Pioneering SLM-Powered Agentic AI Workflows

Announcing the Arcee Model Engine Public Beta

Getting Started with AI Clinical Workflows

AI Agents: The Complete Guide for Any Business

Building an Effective Enterprise Automation Strategy

Arcee AI's Role in the INTELLECT-1 Open Source Revolution

Six Types of AI Agents to Automate Your Workflows in 2025

Everything You Need to Know About Small Language Models

Introducing Arcee-VyLinh - A Powerful 3B Parameter Vietnamese Language SLM

7 Billion Reasons to Choose Arcee-Meraj-Mini: The Open-Source Arabic SLM for All

What is Agentic AI? Is It the Next Big Thing?

Introducing SuperNova-Medius: Arcee AI's 14B Small Language Model That Rivals a 70B

Meet Arcee-SuperNova: Our Flagship 70B Model, Alternative to OpenAI

Arcee-SuperNova: Training Pipeline and Model Composition

Why AI is So Expensive

Getting ROI From Your GenAI: A Look at The High Cost of Generative AI for Enterprises

How Much Energy Does AI Use?

The Power of Non-English LLMs: Meet our Arabic model, Arcee-Meraj (معراج)

How to Choose Between Open Source and Closed Source LLMs: A 2024 Guide

Arcee Swarm: Unlocking AI Expertise Through Specialization

Do Direct Preference Optimization (DPO) with Arcee AI's training platform

Arcee-Spark Gets an Upgrade: Introducing Llama-Spark!

Understanding Large Language Models: Open Source vs. Closed Source LLMs

Distilling LLMs with Compact, Powerful Models for Everyone: Introducing DistillKit by Arcee AI

DistillKit v0.1 by Arcee Labs: The Technical Paper

Train, Merge, & Domain-Adapt Llama-3.1 with Arcee AI

Partner Spotlight: Arcee AI 🤝 MongoDB

Arcee AI Releases Two Open Datasets

Introducing Arcee-Nova

Our Series A, Julien Simon Joins the Team, & Arcee Cloud Goes Live

Introducing Arcee-Scribe: Your Creative Writing Partner

Optimizing LLM Training with Spectrum

How Do I Prep my Data to Train an LLM?

Introducing Arcee Agent: A Specialized 7B Language Model for Function Calling and Tool Use

The Hidden Challenges of Domain-Adapting LLMs

Arcee Spark: A Compact & Efficient 7B Parameter Language Model

Introducing the Ultimate SEC LLM: Revolutionizing Financial Insights

Arcee Cloud: The LLM Solution for Everyone

Use MergeKit to Extract LoRA Adapters from any Fine-Tuned Model

Evolutionary Model Merging For All

Why Methods Like QLoRA Fall Short in Domain Knowledge Injection

How to Merge Llama3 Using MergeKit

Arcee/Mergekit launch Model Merging Hackathon

Arcee releases new repo of LLMOps tools

Arcee launches The Small Language Show, first episode goes deep on Model Merging

Case Study: Innovating Domain Adaptation through Continual Pre-Training and Model Merging

What are the top 5 industries ripe for SLM adoption?

Arcee AI celebrates seed round & merger with mergekit

Arcee AI + mergekit: our commitment to open source

How model merging fits into Arcee's SLM system

March is Merge Madness

Arcee AI takes leading role in model merging innovations

When should I use LLMs vs SLMs?

Introducing Arcee’s SLM Adaptation System

Arcee AI and mergekit unite