Together AI has launched a new feature that allows developers to fine-tune any large language model (LLM) from the Hugging Face Hub directly on its platform. This integration streamlines the process of customizing AI models, enabling users to adapt pre-trained LLMs to their specific tasks without managing complex infrastructure.
The service supports a wide range of models available on Hugging Face, including popular open-source options. Users can select a model, configure fine-tuning parameters through Together AI's interface or API, and deploy the optimized version quickly. This move aims to lower the barrier for businesses and researchers to leverage state-of-the-art AI.
"Fine-tuning is critical for making LLMs useful in real-world applications," said a Together AI spokesperson. "By connecting with Hugging Face's ecosystem, we're giving developers more flexibility and control."
The feature is now available to all Together AI customers. Pricing details are based on compute usage, with tiered options for different model sizes and training durations.