• Title/Summary/Keyword: chatGPT

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Farming Diary Support Method using ChatGPT (ChatGPT를 활용한 영농 일지 지원 방법)

  • Seongmin Kim;Mansoo Hwang;Sanggeun Kim;Neunghoe Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.6
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    • pp.191-197
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    • 2023
  • The farming diary has significant value for farmers as it serves as crucial documentation, supporting evidence for eco-friendly and GAP (Good Agricultural Practices) certifications, as well as when applying for diverse subsidies. A detailed farming diary holds immense value, yet many farmers face challenges in document preparation, so even though training is provided on how to write a farming diary, making these remains impracticable for some. Therefore, this paper suggests using ChatGPT as a solution, enabling the effortless addition of comprehensive information to existing farming diary. With this method, it is expected that enhancing the thoroughness of the farming diary will significantly amplify its worth as robust certification evidence, thereby providing substantial support for future farming endeavors.

A study on the didactical application of ChatGPT for mathematical word problem solving (수학 문장제 해결과 관련한 ChatGPT의 교수학적 활용 방안 모색)

  • Kang, Yunji
    • Communications of Mathematical Education
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    • v.38 no.1
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    • pp.49-67
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    • 2024
  • Recent interest in the diverse applications of artificial intelligence (AI) language models has highlighted the need to explore didactical uses in mathematics education. AI language models, capable of natural language processing, show promise in solving mathematical word problems. This study tested the capability of ChatGPT, an AI language model, to solve word problems from elementary school textbooks, and analyzed both the solutions and errors made. The results showed that the AI language model achieved an accuracy rate of 81.08%, with errors in problem comprehension, equation formulation, and calculation. Based on this analysis of solution processes and error types, the study suggests implications for the didactical application of AI language models in education.

A Method for Identifying New Customer Needs from User Reviews Using ChatGPT (사용자 리뷰에서 ChatGPT를 활용한 새로운 고객의 니즈 도출 방법)

  • Jae-Hyoung Park;Neung-Hoe Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.4
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    • pp.189-194
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    • 2024
  • Identifying customer needs and improving products and services accordingly is essential for survival and growth in modern business. It's important to do this successfully because it's directly related to increasing customer satisfaction and making the products more competitive. However, user reviews are characterized by unstructured data, which requires various stages of processing for analysis. Due to the need for specialized knowledge and skills to analyze reviews and apply appropriate solutions, small business owners often find it challenging to quickly adopt and reflect customer needs. Therefore, this paper proposes a method that utilizes ChatGPT to identify important and new words in user reviews to derive new customer needs.

Chat GPT API-based Web Dashboard (Chat GPT API 기반 웹 대시보드)

  • Min-Kyu Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.74-75
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    • 2023
  • 본 논문에서는 Chat GPT API 를 활용하여 웹 대시보드를 기획하는 것을 다루고 있다. 이 대시보드는 개인과 업무에서 생성된 데이터를 통합하여 데이터 분석을 쉽게 할 수 있도록 도와주며, 머신 러닝 절차를 기반으로 화면 구성이 이루어졌다. 이를 통해 비전문가도 쉽게 데이터 전처리, 시각화, 학습, 저장소 등의 기능을 사용할 수 있다.

The use of ChatGPT in occupational medicine: opportunities and threats

  • Chayma Sridi;Salem Brigui
    • Annals of Occupational and Environmental Medicine
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    • v.35
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    • pp.42.1-42.4
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    • 2023
  • ChatGPT has the potential to revolutionize occupational medicine by providing a powerful tool for analyzing data, improving communication, and increasing efficiency. It can help identify patterns and trends in workplace health and safety, act as a virtual assistant for workers, employers, and occupational health professionals, and automate certain tasks. However, caution is required due to ethical concerns, the need to maintain confidentiality, and the risk of inconsistent or inaccurate results. ChatGPT cannot replace the crucial role of the occupational health professional in the medical surveillance of workers and the analysis of data on workers' health.

Design of a Waste Generation Model based on the Chat-GPT and Diffusion Model for data balance (데이터 균형을 위한 Chat-GPT와 Diffusion Model 기반 폐기물 생성모델 설계)

  • Siung Kim;Junhyeok Go;Jeonghyeon Park;Nammee Moon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.667-669
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    • 2023
  • 데이터의 균형은 객체 인식 분야에서 영향을 미치는 요인 중 하나이다. 본 논문에서는 폐기물 데이터 균형을 위해 Chat-GPT와 Diffusion model 기반 데이터 생성 모델을 제안한다. Chat-GPT를 사용하여 폐기물의 속성에 해당하는 단어를 생성하도록 질문하고, 생성된 단어는 인코더를 통해 벡터화시킨다. 이 중 폐기물과 관련 없는 단어를 삭제 후, 남은 단어들을 결합하는 전처리 과정을 거친다. 결합한 벡터는 디코더를 통해 텍스트 데이터로 변환 후, Stable Diffusion model에 입력되어 텍스트와 상응하는 폐기물 데이터를 생성한다. 이 데이터는 AI Hub의 공공 데이터를 활용하며, 객체 인식 모델인 YOLOv5로 학습해 F1-score와 mAP로 평가한다.

Development of School Violence Prevention Education Chatbot for Elementary School students (초등학생을 위한 학교폭력 예방교육 챗봇 개발)

  • Yu-Seop Kim;Yu-Hyeon Kim;Min-Gee Joh;So-Hui Joung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.399-400
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    • 2023
  • 본 프로젝트는 ChatGPT와 카카오톡 채널 챗봇을 사용하여 초등학생 대상의 학교폭력 예방교육을 위한 대화형 챗봇을 개발한다. 이를 위해, 한림대학교 간호대학에서 제공받은 학교폭력 예방교육 자료를 기반으로 ChatGPT를 사용하여 데이터를 증강하였고, AWS RDS의 데이터베이스에 사용자의 예상 발화와 그에 대한 답변을 저장하였다. 그리고 AWS Lambda에 REST API를 구현하고, AWS API Gateway를 통해 카카오톡 채널 챗봇과 연결하였다. 사용자가 발화를 입력하면 발화를 포함한 요청이 AWS Lambda로 전달되고, ChatGPT를 사용해 답변을 생성하며 데이터베이스에 저장된 데이터와 코사인 유사도를 비교한다. 이때 기준치보다 유사도가 높다면 저장되어 있던 데이터를 반환하고, 낮다면 생성된 답변을 반환한다. 이후 반환된 답변을 카카오톡 채널 챗봇으로 전달해 사용자에게 출력한다.

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Prompt Engineering Technique for efficient use of ChatGPT (ChatGPT 를 효율적으로 사용하기 위한 Prompt Engineering 기법 )

  • Gyeong-Won Jang;Seong-Soo Han
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.05a
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    • pp.595-597
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    • 2023
  • 대규모 언어 모델에 기반한 AI 챗봇인 ChatGPT 의 사용과 출력 품질을 개선하는 데 있어 Prompt Engineering 의 중요성이 확대되고 있다. Prompt Engineering 은 AI 모델에서 보다 정확하고 관련성 높은 응답을 생성하기 위해 프롬프트의 요소를 선택하고 구성하는 작업을 포함한다. 본 논문에서는 ChatGPT 에서 정보나 답변을 효과적으로 추출하는 데 사용할 수 있는 다양한 Prompt Engineering 기법을 소개하고 이러한 기법이 실제 시나리오에 어떻게 적용될 수 있는지에 대한 예를 제공한다.

Generative AI as a Virtual Conversation Partner in Language Learning

  • Ji-Young Seo;Seon-Ah, Kim
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.7-15
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    • 2024
  • Despite a recent surge in multifaceted research on AI-integrated language learning, empirical studies in this area remain limited. This study adopts a Human-Generative AI parallel processing model to examine students' perceptions, asking 182 college students to independently construct knowledge and then compare their efforts with the results generated through in-classroom conversations with ChatGPT 3.5. In questionnaire responses, most students indicated that they found these activities useful and expressed a keen interest in learning various ways to utilize generative AI for language learning with instructor guidance. The findings confirm that ChatGPT's potential as a virtual conversation partner. Identifying specific reasons for the perceived usefulness of conversation activities and drawbacks of ChatGPT, this study emphasizes the importance of teachers staying informed about both the latest advances in technology and their limitations. We recommend that teachers endeavor to creatively design various classroom activities using AI technology.

College Students' Perspectives on ChatGPT Integration in Higher Education and Relevant Ethical Considerations

  • Pyong Ho Kim;Ji Won Yoon;Ju Hyung Yoo
    • International Journal of Advanced Culture Technology
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    • v.12 no.1
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    • pp.234-241
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    • 2024
  • In higher education, integration of technologies - particularly generative artificial intelligence (AI) such as ChatGPT - has become increasingly widespread, serving numerous purposes to its stakeholders. While users acknowledge the utility of technology, concerns have emerged regarding its misuses. The present study is designed to investigate authentic perspectives and opinions of college freshman students to critically address the relevant concerns, and suggest meaningful solutions. To this end, seven college freshman student participants were recruited in a four-days-long online questionnaire. Their responses indicated that the college student participants appear to find ChatGPT positive in terms of its practicality and usefulness. However, they also showed concerns about a few potential issues (i.e., possible plagiarism and copyright problems). With recommendations the student participants suggested to reduce the aforementioned problems, the article discusses implications of the findings, providing valuable insights into the balance between implementation of AI technologies and dealing with the associated challenges in higher education in general.