Large Language Models (LLMs)

Consultation and Requirement Analysis

We begin by understanding your business goals, challenges, and the specific applications you envision for LLMs.

Data Preparation and Model Selection

Our team prepares and labels your data, generates synthetic datasets if needed, and selects the most suitable open-source models for your use case.

Model Training, Fine-Tuning, and Optimization

We train and fine-tune the chosen models, applying optimization techniques like quantization and distillation to enhance performance and efficiency.

Deployment and Ongoing Support

We deploy the optimized models into your operational environment and provide continuous support for maintenance, updates, and scalability.