Small Language Model Training Platform
Seamlessly merge, train, & deploy custom small language models (SLMs) in just a few clicks.
The End-to-End SLM Training Platform
Securely merge, train, and deploy the most accurate domain-adapted Small Language Models (SLMs) in an easy-to-use UI.
Go From Dataset to Deployment of Models That You Own
Build and train your model with just a few clicks, and host it in your VPC or in our cloud. Either way, you have full control and ownership of your models.
Incredibly Efficient Training Opens New Possibilities
Our training routines are so efficient that you can easily re-train on updated data, and/or on the newest open-source models.
How Does Our SLM Training Platform Work?
Create your dataset
Upload your corpus of text data
Train and Merge
Train & merge a custom language model tailored to your use case
Pre-training
Model Merging or Evolutionary Model Merging
Supervised Fine-Tuning
Direct Preference Optimization (DPO)
Deploy your model
One-click deployment of your model to any platform or environment of your choosing
Why Choose Arcee AI’s SLM Training Platform?
Arcee AI’s SLM Training Platform delivers an advanced merging and training system for SLMs, to ensure top-tier security, optimal task-specific performance, and cost efficiency.
Enterprise-Grade Data Security
Our platform keeps your proprietary data secure, whether hosted in your VPC or on Arcee Cloud, making it an ideal solution for industries handling regulated or sensitive information.
Built-In SOTA Training Techniques
Our platform provides an end-to-end workflow featuring Model Merging, Supervised Fine-Tuning, and Direct Preference Optimization (DPO), to deliver customized models with exceptional accuracy.
Models You Fully Own
Our platform grants full ownership of your models at a fraction of the cost of LLMs, with no vendor lock-in, giving you complete control over your model and data.
Arcee AI customers say
Discover Secure SLM Training in Your VPC
Book a demo today and learn more about how we can provide you with industry-leading SLMs while also ensuring the highest of security standards.