Introducing Arcee AI and our portfolio in only 2 minutes? Challenge accepted!
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✅ Small Language Models
✅ Pre-training and post-training stack
✅ SaaS inference platform: Model Engine
✅ Advanced model router: Conductor
✅ Agentic workflows: Orchestra
✅ AWS integration
Happy to answer questions in the comments. If you'd like to see all our services in action, please book a demo at https://www.arcee.ai/book-a-demo
Transcript
Hello, I'm Julien, the Chief Evangelist for Arcee. At Arcee, we are champions of small language models. Our mission is to provide enterprises with compliant, tailored, and cost-effective AI solutions that drive innovation and efficiency. Our best-in-class open-source SLMs available on Hugging Face and our industry-leading commercial SLMs are designed to meet your business's unique needs.
Whether you're looking to automate routine tasks, enhance customer support, or streamline complex workflows, our models are up to the challenge. We build our models with a state-of-the-art stack based on our popular open-source libraries for model merging, model distillation, and parameter-efficient pre-training. This ensures that our models are always at the cutting edge of performance and efficiency.
Our models are not only accurate and cost-efficient, but also more sustainable, as their training requires less computing power. The same goes for inference, and you can even run them on CPU platforms. But we don't stop at SLMs. With Arcee Model Engine, our SaaS inference platform, you can start working with our models in minutes using the familiar OpenAI API. Enabling Arcee Conductor, our advanced router SLM, you can be sure that the most suitable and cost-efficient model handles every task.
Our Arcee Orchestra platform takes SLMs to the next level. Orchestra is an end-to-end agentic workflow solution that makes it easy to build and deploy AI agents. With a simple drag-and-drop interface, you can create complex workflows that automate your business processes, freeing up your team to focus on high-value tasks. All our solutions are designed to work in any environment, whether on-prem, in your VPC, or in our cloud.
Our models and platforms are also available on the AWS Marketplace, making it easy to deploy them on services like Amazon SageMaker and Amazon Bedrock. The seamless integration ensures that you can leverage the full power of our solutions within your existing AWS infrastructure. Join us on this journey to transform your enterprise with the power of small language models. Visit our website to learn more and book a demo today. Thank you for your time. We look forward to partnering with you to unlock the full potential of Generative AI.
Tags
Small Language ModelsEnterprise AI SolutionsArcee Model EngineAI AutomationSustainable AI Technology