AI Intern - LLM

DESCRIPTION

• Collect and collate domain data: collate texts, codes, data, etc. related to automotive/industrial domain, and clean, annotate and collate them to provide high-quality data base for training and application of Large Language Models.
• Design and implement the application solutions of the Large Language Model: Design and implement the solutions based on the Large Language Model according to the specific application scenarios, such as intelligent customer service system, automatic Q&A system, fault diagnosis system, etc.
• Develop and optimise the training and inference process of the large language model: optimise the training and inference process of the large language model to improve the efficiency, accuracy and interpretability of the model.
• Evaluating and analysing the effectiveness of Large Language Models: Evaluating and analysing the effectiveness of Large Language Models in automotive and industrial applications, and improving and optimising them based on the results.
• Write technical documents and reports: Write documents and reports on the research and development of Large Language Models for automotive and industrial applications, documenting the results of the work and lessons learnt.
• Present compelling and proven stories to team members and stakeholders throughout and after the internship

• Undergraduate or graduate student in Computer Science/Data Science/Artificial Intelligence or related disciplines: Solid knowledge of computer science fundamentals and familiarity with data structures, algorithms, programming languages, etc.
• Familiarity with Natural Language Processing (NLP) technologies: Understanding of basic NLP concepts such as word embedding, language modelling, text classification, machine translation, etc.
• Familiar with technologies related to Large Language Modelling (LLM): Understand the basic concepts and application frameworks of LLM, e.g. Transformer, PLM, Prompt Engineering, RAG, Fine Tune, LangChain, etc;
• Deployment experience with major open source LLMs, such as ChatGLM, Llama, etc.
• Relevant project experience: Participated in NLP / LLM related projects, such as chatbots, text generation, Q&A systems, etc.
• Familiarity with Python or other programming languages: Proficiency in writing and developing code in Python or other programming languages.
• Good learning and problem solving skills: able to learn new knowledge and technologies quickly and solve problems independently.
• Good communication and teamwork skills: able to communicate effectively with team members and collaborate to complete project tasks.