Forefront

Forefront is a platform for fine-tuning and inferring open-source language models. It offers a way to run and fine-tune the most popular open-source models on your own data for better results. This lets you fine-tune models for different use cases, so you get better results on your own dataset.

Some of the key benefits of Forefront include:

• Model Customization: Fine-tune models in minutes on your own data without worrying about complex infrastructure setup.
• Serverless Endpoints: Integrate models with simple API calls, without the hassle of managing complex infrastructure.
• Data Storage: Store and manage training, validation, and evaluation data in ready-to-fine-tune datasets.

Forefront is geared for anyone looking to optimize open-source models for their own needs, whether you're in research, a startup, or enterprise. By abstracting away infrastructure concerns, you can fine-tune models without worrying about scalability or resource utilization.

Pricing is based on the model and usage:

• Phi-2: $0.0006 per 1,000 tokens
• Mistral-7B: $0.001 per 1,000 tokens
• Mixtral-7Bx8: $0.004 per 1,000 tokens

Forefront prioritizes privacy and security, so user requests are not logged and customer data is not used to train models. Enterprise customers can deploy in a variety of secure cloud environments.

A free trial is available to get started, so you can try the platform before committing to a plan. If you're interested in open-source AI solutions, Forefront is a good way to get the best of both worlds -- customizing and deploying models.

Published on June 14, 2024