Data Management: Handle large datasets, ensuring the quality and integrity of data used for model training and testing. Develop data pipelines and processes for efficient data handling and model training.
*** Model Optimization**: Continuously monitor, evaluate, and optimize the performance of LLMs. Implement advanced techniques to improve accuracy, efficiency, and scalability of our AI models.
