Payushi Tyagi

Background

About Payushi Tyagi

With experience in both Large Language Models (LLMs) and General AI Agents, I specialize in writing, testing, and optimizing prompts for a wide range of use cases, including coding, data manipulation, writing, translation, summarizing, and classification. My work at Perplexity AI involves crafting prompts to enhance LLM performance across various tasks, along with hands-on experience in multi-turn prompting, refining prompts over multiple interactions to improve model accuracy. Additionally, I have worked with Reinforcement Learning with Human Feedback (RLHF) to iteratively optimize AI models for better performance. In the realm of General AI Agents, I focus on writing and testing prompts that improve agent interactions and performance. My work includes using both supervised and unsupervised training methods to ensure optimal results. I am passionate about leveraging AI technologies to create scalable, high-performing solutions that solve real-world challenges and drive innovation across industries.