The main objective of this project is to support the development and optimization of Large Language Model (LLM)-based solutions for Knowledge QA and Educational QA products. The intern will work on innovative projects involving Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP) to enhance the accuracy, efficiency, and user experience of our AI solutions.

1. Collaborate with the NLP team to design, develop, and deploy LLM-based Knowledge QA and Educational QA products.
2. Assist in the development and fine-tuning of generative AI models, focusing on improving accuracy, efficiency, and user experience.
3. Work on LLM-based Retrieval-Augmented Generation (RAG) solutions to enhance the quality of responses generated by our products.
4. Implement and optimize Vector Databases (Vector DBs) to support efficient information retrieval and model performance.
5. Participate in MLOps practices to ensure smooth model deployment, monitoring, and maintenance.
6. Conduct experiments to evaluate and improve model capabilities, performance, and effectiveness.
7. Collaborate with cross-functional teams to integrate AI solutions into the overall product architecture.
8. Stay up-to-date with the latest research and advancements in NLP, ML, and AI.

We will provide you with access to information about all the latest market innovations in the fields of AI. Our friendly team, which spans both business and technology domains, will offer you numerous learning opportunities. We will provide regular mentorship, access to essential tools and technologies, and relevant market data. Our team will be available for weekly check-ins to discuss progress, address any challenges, and provide guidance on research methods and data analysis. Additionally, you will have access to our internal communication channels for real-time support and collaboration, as well as our network of industry experts for further insights and validation of research findings.