Artificial intelligence expert Andrew Ng has open sourced a new AI agent machine translation project called Translation Agent. The project is based on a reflective agent workflow and uses LLM technology to provide highly customized translation services. Users can flexibly set the tone and regional characteristics of the translation by simply adjusting the prompt words, and import a professional glossary to ensure the consistency of translation terms. Translation Agent has a highly controllable translation workflow, which significantly improves translation efficiency and accuracy, making it widely applicable in many fields such as corporate communications, academic research, and personal life.
Recently, artificial intelligence expert Andrew Ng has open sourced a new AI agent machine translation project, Translation Agent. According to reports, Translation Agent is a machine translation tool based on the reflective agent workflow, which uses LLM technology to provide highly customized translation services.
This project has a highly controllable translation workflow. Users can flexibly set the tone and regional characteristics by simply adjusting the prompt words, and can import a professional glossary to ensure the consistency of translation terms. This flexibility and customizability will enable AI agents to be more widely used in the field of machine translation.
Main function points:
Providing a reflective agent workflow to translate through LLM, reflect and make suggestions for improvements to improve translation quality.
It is highly customizable, allowing you to modify the output style as needed, handle special terminology, and specify language usage for specific regions or dialects.
Suitable for translation of different language pairs, by adjusting prompts and selecting different LLMs, better translation results can be achieved.
Usage scenarios:
Corporate communications: Provide accurate and customized translation services to enterprises to facilitate cross-language communication and international cooperation.
Academic research: Support cross-language academic exchanges and help researchers and scholars share knowledge and collaborative results.
Personal life: Provide individuals with convenient and accurate translation tools to solve language barriers and promote cultural exchanges.
Workflow:
Provide source and target language information and the text to be translated.
Use LLM for translation and generate preliminary translation results.
LLM reflects on the translation and makes suggestions for improvement.
Source: GitHubDaily
GitHub:github.com/andrewyng/translation-agent
All in all, Translation Agent, with its highly customizable and powerful functions, is expected to become an innovative tool in the field of machine translation, providing users with more accurate and efficient translation services. Interested users can visit the GitHub link to learn more and get involved.