Responsible for the application and implementation of LLM in the testing field, including but not limited to LLM/GPT, LangChain, knowledge graph, graph neural network, reinforcement learning and other technologies, exploring the combination of intelligent testing and domain models, and realizing the application in business. 1. Explore the application of LLM technology in the field of intelligent testing, be responsible for algorithm model development, build a framework for LLM applications, integrate into a unified testing platform, and provide intelligent services to improve testing efficiency 2. Participate in the entire process of domain models, including but It is not limited to data, training, evaluation, and inference deployment to ensure the high quality and validity of data 3. Explore the application of Agent in complex tasks and implement the application of complex tasks based on LLM in scenarios in the field of intelligent testing 4. Continue to follow up Learn about LLM cutting-edge technology, open source solutions and their applications in the field of intelligent testing.
1. Master degree or above, computer, software engineering, artificial intelligence, pattern recognition and other related majors 2. Master the big language The algorithm principle of the model, Fine-tuning, Prompt Engineering, vector database and LangChain and other application paradigms in the field of LLM, priority will be given to those who lead projects or papers with great influence 3. Strong interest in the testing field and applying LLM to solve testing problems and technical enthusiasm 4. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.