Responsibilities:
- Prompt Generation: Developing and refining AI models and algorithms to generate contextually relevant and accurate prompts for various applications, such as chatbots, virtual assistants, or natural language processing systems.
- Natural Language Understanding: Enhancing AI models to understand and interpret user input, queries, or commands, and generate appropriate prompts or responses based on the context and intent.
- Model Training and Tuning: Training and fine-tuning AI models using machine learning techniques to improve prompt generation, language understanding, and response generation.
- Contextual Awareness: Ensuring that AI prompts are contextually aware and adaptive to different scenarios, user preferences, and conversational contexts.
- Collaboration: Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to integrate prompt generation capabilities into AI-powered applications.
- Performance Evaluation: Evaluating the performance and accuracy of prompt generation models, iterating on solutions to enhance contextual relevance and user experience.
- Research and Innovation: Staying updated on the latest AI research, natural language processing advancements, and conversational AI trends to inform prompt engineering strategies and initiatives.
Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.
https://www.wphdigital.com/notices
