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entelecheia committed Oct 9, 2024
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6 changes: 6 additions & 0 deletions en/_sources/syllabus/index.md
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- Key Learning Content: OpenAI API usage, tokenization, sampling methods
- Note: Lecture, Practice (Simple text generation through API calls)

Special Lecture: 2024 Nobel Prize in Physics - Foundations of Machine Learning

- Overview: Foundational discoveries enabling machine learning with artificial neural networks
- Key Learning Content: Hopfield networks, Boltzmann machines, and their impact on modern AI and NLP
- Note: Discussion on the connection between physics and machine learning

Week 7

- Overview: Basics of Prompt Engineering
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6 changes: 6 additions & 0 deletions en/syllabus/index.html
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Expand Up @@ -539,6 +539,12 @@ <h2>Course Outline<a class="headerlink" href="#course-outline" title="Link to th
<li><p>Key Learning Content: OpenAI API usage, tokenization, sampling methods</p></li>
<li><p>Note: Lecture, Practice (Simple text generation through API calls)</p></li>
</ul>
<p>Special Lecture: 2024 Nobel Prize in Physics - Foundations of Machine Learning</p>
<ul class="simple">
<li><p>Overview: Foundational discoveries enabling machine learning with artificial neural networks</p></li>
<li><p>Key Learning Content: Hopfield networks, Boltzmann machines, and their impact on modern AI and NLP</p></li>
<li><p>Note: Discussion on the connection between physics and machine learning</p></li>
</ul>
<p>Week 7</p>
<ul class="simple">
<li><p>Overview: Basics of Prompt Engineering</p></li>
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6 changes: 6 additions & 0 deletions ko/_sources/syllabus/index.md
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- 주요학습내용: OpenAI API 사용법, 토큰화, 샘플링 방법
- 비고: 강의, 실습 (API 호출을 통한 간단한 텍스트 생성)

특별 강연: 2024년 노벨 물리학상 - 기계학습의 기초

- 개요: 인공 신경망을 이용한 기계학습을 가능하게 한 기초적 발견
- 주요 학습 내용: 홉필드 네트워크, 볼츠만 머신, 그리고 이들이 현대 AI와 NLP에 미친 영향
- 비고: 물리학과 기계학습의 연관성에 대한 토론

7주차

- 교과개요: 프롬프트 엔지니어링 기초
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6 changes: 6 additions & 0 deletions ko/syllabus/index.html
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Expand Up @@ -592,6 +592,12 @@ <h2>강좌개요<a class="headerlink" href="#id3" title="Link to this heading">#
<li><p>주요학습내용: OpenAI API 사용법, 토큰화, 샘플링 방법</p></li>
<li><p>비고: 강의, 실습 (API 호출을 통한 간단한 텍스트 생성)</p></li>
</ul>
<p>특별 강연: 2024년 노벨 물리학상 - 기계학습의 기초</p>
<ul class="simple">
<li><p>개요: 인공 신경망을 이용한 기계학습을 가능하게 한 기초적 발견</p></li>
<li><p>주요 학습 내용: 홉필드 네트워크, 볼츠만 머신, 그리고 이들이 현대 AI와 NLP에 미친 영향</p></li>
<li><p>비고: 물리학과 기계학습의 연관성에 대한 토론</p></li>
</ul>
<p>7주차</p>
<ul class="simple">
<li><p>교과개요: 프롬프트 엔지니어링 기초</p></li>
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