AI R&D Intern
CodePresso · Ho Chi Minh City
- Develop and enhance an automatic generation system to efficiently respond to the consumption cycle of assessment content.
- Enhance the scoring function for a reliable competency assessment service, assessing logic, code quality, and output.
- Develop an automatic error description generation function for efficient learning.
- Reduce service costs through the introduction of open-source LLM and sLLM models.
- Implement a code interview performance and analysis system.