대규모 언어 모형(LLM)의 기초 원리 이해
아리가람
챗지피티(ChatGPT) 같은 대규모 언어 모형의 기초 원리를 이론 중심으로 설명합니다.
Trung cấp trở lên
NLP, gpt, 인공지능(AI)
Problematization (문제화) is a term also translated as problem posing, problem framing, problem setting, or problem definition. This concept involves questioning known facts (like requests or common sense) from a new perspective, defining the problem, and devising methods to solve it. Problematization should be the starting point for all development, yet it remains insufficiently discussed within the field. Performing projects or developing programs is, in essence, planning to solve problems. This means they are related to problematization. To solve a problem, it must first be clearly defined. However, problems are mostly presented as vague requests. Therefore, the ability to transform vague requests into clear problems is essential to reduce unnecessary 'development waste,' facilitate smooth collaboration, and accurately grasp users' true needs. This lecture helps train 'the thinking of problem construction' through practical examples and tools.
28 learners
How to uncover the real issues in requests, requirements, user feedback, and code reviews
How to formulate real problems into structured problems using problem statement formulas, etc.
How to find the root cause of the problem
A philosophical concept, 'problematization,' discerning essence from phenomena
Various tools for 'problematization'.
Who is this course right for?
A developer who wants to foster the ability to independently think and determine what the true problem is, rather than just implementing given requests.
Planners, Designers, PM/POs aiming to set team direction amid vague requirements and opinions, and communicate smoothly with developers.
426
Learners
25
Reviews
1
Answers
4.5
Rating
17
Courses
IT가 취미이자 직업인 사람입니다.
다양한 저술, 번역, 자문, 개발, 강의 경력이 있습니다.
All
72 lectures ∙ (17hr 16min)
Course Materials:
All
1 reviews
$42.90
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