Large Language Model Intern

6 days ago

Beijing, Beijing, China Cummins Inc. Full time
About the Role

Cummins Inc. is seeking undergraduate or graduate students for in-depth research opportunities in the field of Large Language Models (LLM). This position will provide a unique chance to explore and practice LLM in vertical scenarios of automotive and industrial domains.

Key Responsibilities
  • Collect and collate domain data: gather 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
Qualifications and Competencies
  • 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, 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.

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