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2023-02-27
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2023-02-27 Closed
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코딩을 도와주는 AI

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    • Markdown Input
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      # This is an H1
      ## This is an H2
      ### This is an H3
      
      # This is an H1 ## This is an H2 ### This is an H3
    • Markdown Input
      Markdown Output
      *This is an italic*
      **This is an bold**
      ~~This is an strike~~
      
      *This is an italic* **This is an bold** ~~This is an strike~~
    • Markdown Input
      Markdown Output
      - Red
          1. White
          2. Blue
      - Green.
      
      - Red 1. White 2. Blue - Green
    • Markdown Input
      Markdown Output
      - [ ] Todos
          - [x] To do A
          - [ ] To do B
          - [ ] To do C
                          
      • Todos
        • To do A
        • To do B
        • To do C
    • Markdown Input
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      ![title](https://repo.yona.io/assets/images/ico-like-small.png "Yobi")
      
      ![title](/assets/images/ico-like-small.png "Yobi")
    • Markdown Input
      Markdown Output
      > Lorem ipsum dolor sit amet, consectetuer adipiscing elit.
      >
      > Aenean commodo ligula eget dolor.
      
      > Lorem ipsum dolor sit amet, consectetuer adipiscing elit. > > Aenean commodo ligula eget dolor.
    • Markdown Input
      Markdown Output
      `function test() {console.log("hello world");}`
      
      ```javascript
      function test() {
        console.log("hello world");
      }
      ```
      
      `function test() {console.log("hello world");}` ```javascript function test() { console.log("hello world"); } ```
    • Markdown Input
      Markdown Output
      | Default      | Align center | Align right |
      | ------------ | :----------: | ------: |
      | Carrot       | Red          | 1,000   |
      | Banana       | Yellow       | 32,000  |
      
      | Default | Align center | Align right | | ------------ | :----------: | ------: | | Carrot | Red | 1,000 | | Banana | Yellow | 32,000 | Also, you can copy & paste table from excel sheet
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    Tasks

    인공지능으로 코딩하는 것은 지능형 애플리케이션을 구축하기 위해 기계 학습 기술과 도구를 사용하는 것을 포함한다. 다음은 AI로 코딩하는 것과 관련된 몇 가지 주제이다:

    딥 러닝: 많은 양의 데이터를 가진 신경망을 훈련시켜 예측하거나 데이터를 분류하는 기계 학습의 하위 분야입니다.
    자연어 처리(NLP): 인간의 언어를 분석하고 이해하고 생성하는 데 초점을 맞춘 AI의 한 분야이다.
    컴퓨터 비전: 기계가 주변 세계의 시각 데이터를 해석하고 이해할 수 있도록 하는 것을 다루는 인공지능 분야입니다.
    강화 학습: 알고리즘이 환경의 피드백을 기반으로 의사 결정을 학습하는 기계 학습 유형입니다.
    생성적 적대 네트워크(GAN): 현실적인 합성 데이터를 생성하기 위해 두 개의 신경망을 훈련시키는 것을 포함하는 딥 러닝의 한 유형이다.
    음성 인식: 인간의 말을 텍스트로 옮기는 기계의 능력.
    이미지 인식: 이미지에서 객체를 식별하고 분류하는 기계의 기능입니다.
    챗봇: 자연어 처리를 사용하여 사용자와 인간과 같은 방식으로 대화하는 프로그램입니다.
    예측 분석: 과거 데이터를 기반으로 미래 결과의 가능성을 확인하기 위해 데이터, 통계 알고리즘 및 기계 학습 기술을 사용합니다.
    추천 시스템: 머신 러닝을 사용하여 사용자가 과거의 행동이나 선호도를 바탕으로 관심을 가질 가능성이 높은 항목이나 제품을 예측하는 알고리즘입니다.

    ChatGPT for programmer presentation topics

    Here are some potential presentation topics related to programming that you could consider using ChatGPT for:

    • Introduction to Machine Learning: A high-level overview of what machine learning is, how it works, and the different types of machine learning algorithms.
    • Data Structures and Algorithms: A deep dive into the most commonly used data structures and algorithms and how they are implemented in code.
    • Best Practices for Code Quality: A discussion of the principles and guidelines that developers can follow to produce high-quality, maintainable, and scalable code.
    • Cloud Computing and Serverless Architecture: An exploration of how cloud computing has revolutionized the way we build and deploy software, and how serverless architecture can help reduce infrastructure costs and improve scalability.
    • Web Development with React: A tutorial on building web applications using React, a popular JavaScript library for building user interfaces.
    • Introduction to Cybersecurity: An overview of common cybersecurity threats, best practices for secure coding, and tools and techniques for protecting your applications from attacks.
    • DevOps and Continuous Integration/Continuous Deployment (CI/CD): A discussion of the key principles of DevOps, and how CI/CD pipelines can be used to automate the software delivery process and improve the speed and quality of software releases.
    • Building Mobile Applications with Flutter: A tutorial on building cross-platform mobile applications using Flutter, a popular open-source framework developed by Google.
    • Big Data and Hadoop: An overview of big data, Hadoop, and other tools and technologies used to store, process, and analyze large volumes of data.
    • Programming Languages and Paradigms: A comparison of different programming languages and their unique features and paradigms, and how to choose the right language for a given task.

    programming with chatgpt ppt topics

    Here are some potential PowerPoint presentation topics related to programming with ChatGPT that you could consider:

    • Introduction to Chatbots: An overview of what chatbots are, how they work, and the different types of chatbots that can be built using natural language processing and machine learning.
    • AI and Machine Learning for Programmers: A high-level overview of how artificial intelligence and machine learning can be used in programming, with real-world examples and use cases.
    • Building Chatbots with ChatGPT: A tutorial on how to use ChatGPT to build conversational chatbots that can understand and respond to natural language input.
    • ChatGPT and Natural Language Processing: An exploration of how ChatGPT works, its underlying natural language processing technologies, and how it can be used in a variety of programming tasks.
    • Ethics and Bias in AI and Chatbots: A discussion of the ethical considerations and potential biases that can arise when building and deploying AI-powered chatbots, and how to mitigate these risks.
    • Chatbots for Customer Service and Support: A case study on how chatbots are being used in customer service and support, with examples of successful implementations and best practices.
    • Implementing Chatbots in Healthcare: An overview of how chatbots can be used in healthcare to improve patient care and outcomes, with real-world examples of successful implementations.
    • Natural Language Generation with ChatGPT: An exploration of how ChatGPT can be used to generate natural language text, including applications in content creation, marketing, and e-commerce.
    • Chatbots for Education and Training: A case study on how chatbots are being used in education and training, with examples of successful implementations and best practices.
    • Building Smarter Applications with ChatGPT: An overview of how ChatGPT and other AI-powered tools can be used to build smarter, more intuitive applications, with real-world examples and use cases.

    programming with copilot ppt topics

    Here are some potential PowerPoint presentation topics related to programming with GitHub Copilot that you could consider:

    • Introduction to GitHub Copilot: An overview of what GitHub Copilot is, how it works, and the benefits it provides to developers.
    • How GitHub Copilot Works: A deep dive into the machine learning algorithms and natural language processing techniques used by GitHub Copilot to suggest code.
    • Building with GitHub Copilot: A tutorial on how to use GitHub Copilot to speed up your coding workflow and improve the quality of your code.
    • Integrating GitHub Copilot into Your Workflow: A discussion of how to integrate GitHub Copilot into your development workflow and how to customize it to fit your coding style and preferences.
    • Advanced Tips and Tricks for GitHub Copilot: An exploration of advanced features and techniques that can help you get the most out of GitHub Copilot, including using it with other tools and optimizing its performance.
    • Debugging with GitHub Copilot: A discussion of how GitHub Copilot can be used to help debug code, including identifying errors and providing suggestions for fixing them.
    • GitHub Copilot and Collaboration: A case study on how GitHub Copilot can be used in collaborative programming environments, including how to use it with version control systems like Git.
    • GitHub Copilot and Open Source: An overview of how GitHub Copilot can be used to contribute to open source projects, including best practices for using it in a collaborative development environment.
    • GitHub Copilot and Code Quality: A discussion of how GitHub Copilot can be used to improve code quality and reduce the number of errors and bugs in code.

    The Future of Programming with GitHub Copilot: A discussion of how GitHub Copilot is shaping the future of programming and the potential benefits and challenges of using AI-powered tools in development.

    coding with ai topics

    Coding with AI involves using machine learning techniques and tools to build intelligent applications. Here are some topics that are relevant to coding with AI:

    • Deep Learning: A subfield of machine learning that involves training neural networks with large amounts of data to make predictions or classify data.
    • Natural Language Processing (NLP): A branch of AI that focuses on analyzing, understanding, and generating human language.
    • Computer Vision: An area of AI that deals with enabling machines to interpret and understand visual data from the world around them.
    • Reinforcement Learning: A type of machine learning where an algorithm learns to make decisions based on feedback from the environment.
    • Generative Adversarial Networks (GANs): A type of deep learning that involves training two neural networks to generate realistic synthetic data.
    • Speech Recognition: The ability of machines to transcribe human speech into text.
    • Image Recognition: The ability of machines to identify and classify objects in images.
    • Chatbots: Programs that use natural language processing to converse with users in a human-like way.
    • Predictive Analytics: The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data.
    • Recommender Systems: Algorithms that use machine learning to predict what items or products a user is likely to be interested in based on their past behavior or preferences.

    how to code with GitHub copilot

    GitHub Copilot is an AI-powered code suggestion tool developed by OpenAI and GitHub. Here are some steps to start coding with GitHub Copilot:

    • Install Visual Studio Code: GitHub Copilot works as an extension of Visual Studio Code, so you need to install this code editor.
    • Install GitHub Copilot extension: Go to the Visual Studio Code marketplace and search for the GitHub Copilot extension. Install and activate it.
    • Set up GitHub account and token: You need to have a GitHub account and generate a personal access token to use Copilot. Go to GitHub's settings page to create the token.
    • Start using GitHub Copilot: Start typing your code, and GitHub Copilot will suggest code snippets and auto-completions based on the context.
    • Accept or modify the suggestions: GitHub Copilot will present you with several suggestions for each line of code. You can either accept them or modify them to fit your needs.
    • Provide feedback to improve Copilot: GitHub Copilot is constantly learning from user feedback, so if you see a suggestion that doesn't make sense or could be improved, you can provide feedback to help improve the system.

    It's worth noting that GitHub Copilot is still in technical preview, and it's not perfect, so you should always review the code it suggests before using it in your project.

    how to code with ChatGPT

    As an AI language model, ChatGPT is not a tool or platform for coding. However, you can use ChatGPT to ask programming-related questions, get help with coding problems, or learn more about coding concepts and techniques.

    To use ChatGPT for coding-related queries, you can follow these steps:

    • Start a conversation with ChatGPT: You can do this by typing in the chat box or voice command, depending on the platform you're using.
    • Ask your coding-related question: Be specific and clear about the problem you're facing, the language you're using, and any relevant context.
    • Review the response: ChatGPT will generate a response based on the information you provided. Review the answer carefully to see if it addresses your question.
    • Ask follow-up questions if necessary: If you need more clarification or have additional questions, you can ask follow-up questions to ChatGPT.

    It's important to note that ChatGPT is a general-purpose language model trained on a vast amount of data, and its responses are not always perfect. Therefore, it's recommended to validate the information with other sources, and not rely solely on ChatGPT's response for important coding decisions.

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    • Markdown help
    • Header
    • Text Style
    • Link
    • List
    • Checklist
    • Image
    • Blockquote
    • Code
    • Table
    • Short Link
    • Markdown Input
      Markdown Output
      # This is an H1
      ## This is an H2
      ### This is an H3
      
      # This is an H1 ## This is an H2 ### This is an H3
    • Markdown Input
      Markdown Output
      *This is an italic*
      **This is an bold**
      ~~This is an strike~~
      
      *This is an italic* **This is an bold** ~~This is an strike~~
    • Markdown Input
      Markdown Output
      - Red
          1. White
          2. Blue
      - Green.
      
      - Red 1. White 2. Blue - Green
    • Markdown Input
      Markdown Output
      - [ ] Todos
          - [x] To do A
          - [ ] To do B
          - [ ] To do C
                          
      • Todos
        • To do A
        • To do B
        • To do C
    • Markdown Input
      Markdown Output
      ![title](https://repo.yona.io/assets/images/ico-like-small.png "Yobi")
      
      ![title](/assets/images/ico-like-small.png "Yobi")
    • Markdown Input
      Markdown Output
      > Lorem ipsum dolor sit amet, consectetuer adipiscing elit.
      >
      > Aenean commodo ligula eget dolor.
      
      > Lorem ipsum dolor sit amet, consectetuer adipiscing elit. > > Aenean commodo ligula eget dolor.
    • Markdown Input
      Markdown Output
      `function test() {console.log("hello world");}`
      
      ```javascript
      function test() {
        console.log("hello world");
      }
      ```
      
      `function test() {console.log("hello world");}` ```javascript function test() { console.log("hello world"); } ```
    • Markdown Input
      Markdown Output
      | Default      | Align center | Align right |
      | ------------ | :----------: | ------: |
      | Carrot       | Red          | 1,000   |
      | Banana       | Yellow       | 32,000  |
      
      | Default | Align center | Align right | | ------------ | :----------: | ------: | | Carrot | Red | 1,000 | | Banana | Yellow | 32,000 | Also, you can copy & paste table from excel sheet
    Notification receivers
    Drag & Drop files here to upload.
    Tasks

    인공지능과 함께 코딩하는 것은 지능형 애플리케이션을 구축하기 위해 기계 학습 기술과 도구를 사용하는 것을 포함합니다. ChatGPT와 GitHub Copilot을 중심으로 프로그래밍 패러다임이 매우 크게 변화하고 있습니다.
    이 기술을 무엇이고, 어떻게 프로그래밍에 도움을 받을 수 있는지, 그리고, 어떤 진화가 앞으로 예상되는지에 대해서 함께 알아보려고 합니다.

    제목: 코딩을 도와주는 AI
    주제:

    • AI와 코딩 소개
    • GitHub Copilot 특징과 활용
    • ChatGPT 특징과 활용
    • 손에 잡히는 AI 서비스
    • Q&A

    허광남 OKKY 공동대표

    現 okky.kr 사이트 공동대표
    現 okdevtv.com 프로그래밍 방송 BJ
    現 '12~'23 전자정부 표준프레임워크 에반젤리스트
    前 '21~'22 이노베이션 아카데미 멘토
    前 '17~'19 펫프렌즈 CTO, 헬로네이처 CTO
    前 '15~'17 GS SHOP 벤처투자팀 CoE 파트
    
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  • Closed 허광남 closed this issue 2023-03-03
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