Large Language Model Intern
3 weeks ago
Job Summary
Cummins Inc. is seeking a highly motivated and skilled individual to join our Data Science and Artificial Intelligence Department as a Large Language Model Intern.
About the Role
This internship provides an opportunity to explore and practice the application of Large Language Models (LLM) in automotive and industrial domains. You will work on designing and developing frameworks for LLM in vertical domains, building and optimizing applications based on the LLM, and evaluating and analyzing the effectiveness of LLM in automotive and industrial applications.
Key Responsibilities
- Collect and collate domain data, including texts, codes, and data related to automotive and industrial domains, and clean, annotate, and collate them to provide high-quality data for training and application of LLM.
- Design and implement application solutions of LLM based on specific application scenarios, such as intelligent customer service systems, automatic Q&A systems, and fault diagnosis systems.
- Develop and optimize the training and inference process of LLM to improve efficiency, accuracy, and interpretability of the model.
- Evaluate and analyze the effectiveness of LLM in automotive and industrial applications and improve and optimize them based on the results.
- Write technical documents and reports on the research and development of LLM for automotive and industrial applications, documenting the results of the work and lessons learned.
- 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 with solid knowledge of computer science fundamentals and familiarity with data structures, algorithms, programming languages, etc.
- Familiarity with Natural Language Processing (NLP) technologies, including understanding of basic NLP concepts such as word embedding, language modeling, text classification, machine translation, etc.
- Familiarity with technologies related to Large Language Modeling (LLM), including understanding of 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 in NLP/LLM-related projects, such as chatbots, text generation, Q&A systems, etc.
- Familiarity with Python or other programming languages with proficiency in writing and developing code.
- Good learning and problem-solving skills with ability to learn new knowledge and technologies quickly and solve problems independently.
- Good communication and teamwork skills with ability to communicate effectively with team members and collaborate to complete project tasks.
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