We begin by understanding your business goals, challenges, and the specific applications you envision for LLMs.
Our team prepares and labels your data, generates synthetic datasets if needed, and selects the most suitable open-source models for your use case.
We train and fine-tune the chosen models, applying optimization techniques like quantization and distillation to enhance performance and efficiency.
We deploy the optimized models into your operational environment and provide continuous support for maintenance, updates, and scalability.