Communication

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Welcome to AIESEC! Welcome to Communication!!!

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Internship Report on Studying the English Teaching Process. Being a senior student majoring in Business English at University of Finance and Marketing, the reporter would love to have great opportunities to experience English teacher position at Atlanta Language Educator. Although her major focuses mainly on economics, she found strong interest and passion in education, especially teaching English for students in general and grammar in specific. On her 3-month internship duration, she looked forward to studying that English teaching process to build her self-development not only in terms of teaching knowledge but also soft skills. In addition, she would like to have practical experiences in dealing with issues in class management. Moreover, with her aspiration of spreading love for English among her beloved students, she was delighted to have closer connections with them to deepen understanding about their dilemma in learning English, from that she could put forward solutions to address the problems.

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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