LLM Model for scientific Research
This project focused on building and optimizing a Large Language Model (LLM) for scientific research applications in technology, healthcare, and financial sectors. The data labeling tasks involved a mix of classification, data collection, prompt and response writing, question answering, and text summarization, using internal proprietary tooling to ensure accuracy and consistency. The project required high precision to handle domain-specific content, ensuring the LLM could generate meaningful, contextually accurate, and actionable outputs.