AI & LLM Tools – Data Annotation and Prompt Engineering
TextPrompt Response Writing SFT
Leveraged large language models (LLMs) and engaged in advanced prompt engineering and generative model deployment. Actively structured and annotated raw text data to improve AI and LLM applications. Work involved creating, refining, and curating prompt-response datasets for AI tools used in internal projects.
• Designed and wrote AI prompts for web tools and prompt libraries.
• Evaluated and improved LLM-generated outputs for usefulness and accuracy.
• Annotated and organized text data for machine learning model training.
• Applied structured data processes to enhance LLM application reliability.
Leveraged large language models (LLMs) and engaged in advanced prompt engineering and generative model deployment. Actively structured and annotated raw text data to improve AI and LLM applications. Work involved creating, refining, and curating prompt-response datasets for AI tools used in internal projects. • Designed and wrote AI prompts for web tools and prompt libraries. • Evaluated and improved LLM-generated outputs for usefulness and accuracy. • Annotated and organized text data for machine learning model training. • Applied structured data processes to enhance LLM application reliability.
Not specified