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Small Language Models:
Powering Enterprise AI

Small, specialized, and secure language models are the optimal solution for the majority of business use cases across industries like healthcare, financial services, legal, education, and more.

Reach out today to learn how to get started.

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Trusted by Industry-Leading Companies

What are Small Language Models?

Here at Arcee AI, our definition of a small language model (SLM) is anything with a parameter count of 72B or less.



Despite their smaller parameter count, SLMs can outperform large language models (LLMs) when trained on domain-specific tasks. The reduced size makes SLMs much more cost-effective, resource efficient and delivers lower latency than their LLM counterparts.
Learn More About SLMs

Cost-efficient

Task-specific performance

Reduced Latency

Accurate Output

Data Security

Ownership

Advanced chatbots, virtual assistants, customer onboarding, customer support|.

Adaptive learning systems.

Contract analysis and regulatory checks

High-quality marketing and documentation

Enhanced interpretation and reporting

Literature reviews and hypothesis generation

Small Language Models
vs.
Large Language Models


Characteristics

Parameter Count

Combine pre-trained models using CPU resources, saving on GPU costs while creating custom models that fit your needs.

Training Data

Keep your models up-to-date with ongoing data, ensuring they stay relevant without retraining from scratch.

Output Quality

Optimize your models for specific tasks, enhancing their performance in your targeted applications.

Business Usecase

Fine-tune only essential parts of large models to save on resources while still achieving high performance.

Scalability

Use Direct Preference Optimization to fine-tune models based on direct user feedback, aligning them with user needs.

Cost

Fine-tune smaller, faster models using quantized low-rank adaptation, balancing efficiency with performance.

Data Security

Choose from different model sizes to balance complexity with speed, depending on your application needs.

Data Security

Choose from different model sizes to balance complexity with speed, depending on your application needs.


Small Language Models

A

≤ 72B
Tailored to business-specific data for focused, relevant performance
More relevant, accurate outputs
Built for specific use cases
Flexible and efficient for business
50%-75% cheaper than LLMs
Prioritizes security and compliance
5


Large Language Models

> 72B
Trained on broad, general-purpose data for diverse applications
Prone to hallucination and catastrophic forgetting
Struggles with specific use cases
Challenging and costly to scale for large deployment
Higher costs due to size & resources requirement
Requires complex configurations
Data Security

Choose from different model sizes to balance complexity with speed, depending on your application needs.

The Advantages of Small Language Models

Boosted Accuracy & Performance

  • 60% better benchmarks compared to LLMs
  • Minimal hallucinations
  • Low latency, fast response time
  • Relevant, accurate outputs

Flexibility & Scalablity

  • Fully customizable with your data
  • Regularly updated and re-trained to meet your needs
  • Cost-efficient, achieving up to 50-75% savings compared to LLMs
  • Fast time-to-value with high ROI

Ownership & Security

  • Free from third-party API dependencies
  • Run securely within your chosen environment
  • Maintain full transparency and control over your data and model
  • Meet your compliance needs

Small Language Models:
Driving Business Success with Efficiency

Guild Education, a leading education and career advancement program provider, sought a GenAI solution to deliver consistent, customized career recommendations to their diverse users. After ruling out closed-source LLMs due to high costs and limited support, they turned to Arcee AI's SLM approach.

Arcee AI’s Solution for Guild Education

Addressed their data privacy and compliance concerns

Allowed for training on their own data and fine-tuning for their specific use case

All at a fraction of the cost of closed-source LLM providers

Discover Guild's Success Story

Experience the Power of SLMs

Arcee-SuperNova

  • 70B model for general use cases
  • State-of-the-art instruction-following capabilities
  • Human preference scores matching Llama-3.1-405B-Instruct
  • Strict focus on meeting customer needs with advanced capabilities
Learn More

Arcee-SuperNova-Medius

  • 14B parameters model for general use cases
  • Excels at complex reasoning tasks
  • The 🥇 model in the 13B category on the Hugging Face Leaderboard
  • Best for simple chatbots and essential customer service
Learn More

Arcee-Agent

  • 7B parameter model for multi-step tasks
  • Advanced function-calling with seamless external tool integration
  • Dual-mode functionality for tool routing or standalone chat agent
Learn More

Arcee-Scribe

  • 7B parameter versatile chat model
  • Excels at creative writing and content generation
  • Best for new ideas in writing and communication
Learn More

Small Language Models:
AI Tailored for Specific Tasks

Transform how your team operates in an AI-powered world.
Arcee AI empowers you to tackle complex tasks with purpose-built SLMs.
Book a Demo

Frequently asked questions

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