As business needs grow more complex, Large Language Models (LLMs) trained on generic data may fall short. At COLLABRIDGE, we create custom LLMs tailored to specific business contexts. We ensure clients retain full control over model input, output, and data, fine-tuning datasets and deploying models in cloud environments for security and performance. Continuous monitoring and timely updates further optimize model accuracy and impact. For enterprises with resource constraints, Small Language Models (SLMs) are a more efficient alternative. SLMs are lightweight, fast, and easily customized for specific use cases. At COLLABRIDGE, we integrate domain-specific knowledge, optimize for both on-device and cloud deployment, and maintain full control over data. Our process includes fine-tuning datasets, refining models, and securely deploying them within client environments, ensuring continuous alignment with business needs.
