Generative AI
Generative Model Development:
Capable in building, training, and optimizing generative models across diverse domains including images, text to produce realistic and high-quality data samples.
Model Fine-Tuning:
Skilled in fine-tuning pre-trained generative models (open and private source models ) to enhance performance and adapt them to specific downstream tasks and applications.
Model Customization:
Experienced in customizing generative models by adjusting parameters, architectures, and hyperparameters to align with project requirements and objectives.
Data Generation and Augmentation:
Capable of utilizing generative models to generate synthetic data, augment training datasets, and create creative content tailored to specific use cases.
Model Evaluation and Benchmarking:
Proficient in evaluating and benchmarking generative models using appropriate metrics and techniques to gauge performance and effectiveness accurately.
Scalable and Production-Ready Solutions:
We provide scalable and efficient generative AI solutions suitable for deployment in production environments and seamless integration into existing systems and applications.
Model Lifecycle Management (LLMOps):
We manage the entire model lifecycle through LLM Operations (LLMOps), ensuring sustained performance and value delivery.
Develop / Fine Tune Generative AI models using
Azure ML Studio
