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Byte Pancake
2023. 12. 17.
#chatgpt #prompt #promptengineering 안녕하세요 여러분! 오늘 영상에서는 프롬프트 엔지니어링의 기본 사항을 살펴보겠습니다. 프롬프트 엔지니어링 기술을 숙달하는 데 도움이 되는 기본 사항을 분석하고, 주요 원칙을 살펴보고, 실용적인 통찰력이 공유되었으면 합니다.
💁♂️ *The Complete Spring Boot Guide: Build a Production-Grade Complex eCommerce Real Time Project is LIVE!* [Comes with 47+ Hours of content] Access course here: https://link.embarkx.com/spring-boot 💁♂️ *MASTER SPRING BOOT MICROSERVICES*: https://link.embarkx.com/microservices 💁♂️ *The Complete Spring Security 6 Guide: Build a Production-Grade Complex Secure Notes application is LIVE!* [Comes with 24+ Hours of content] We cover Spring Security 6 with ReactJS, OAuth2, Social Login Multifactor Authentication and a lot more *ACCESS COURSE HERE: https://link.embarkx.com/spring-security* SECURE NOTES APPLICATION FEATURES: 👉 Sign in + Signup 👉 Password Management 👉 JWT Auth 👉 Multifactor Authentication 👉 OAuth2 👉 Custom Filters 👉 Role Based Authorization 👉 Admin Auditing 👉 Email Verification 👉 Secure Deployment + Managing environment variable 👉 CSRF protection 👉 React + Tailwind CSS Front end *THE ULTIMATE JAVA AND SPRING BOOT MASTERY* 1. SPRING BOOT BY BUILDING COMPLEX PROJECT STEP BY STEP [47+ HOURS OF CONTENT]: https://link.embarkx.com/spring-boot 2. MASTER SPRING BOOT MICROSERVICES: https://link.embarkx.com/microservices 3. LEARN JAVA WITH 60+ HOURS OF CONTENT: http://link.embarkx.com/java 4. MASTER SPRING SECURITY WITH REACT JS+OAUTH2: https://link.embarkx.com/spring-security 5. MASTER INTELLIJ IDEA: http://link.embarkx.com/intellij Join us on Telegram community for source code and updates: https://link.embarkx.com/telegram MORE FREE COURSES HERE: https://link.embarkx.com/all FOLLOW ME: https://link.embarkx.com/linkedin 00:00:00 Course Introduction 00:01:41 Introduction to OAuth2 00:17:18 OAuth 2 Application Flow 00:27:00 Creating a New Spring Boot Project 00:30:16 Getting Started with GitHub 00:35:18 Setting Up the Project to Work with GitHub 00:51:06 Testing the Application 00:59:47 Getting Started with Google 01:13:46 Setting Up the Project to Work with Google 01:15:54 Testing the Application 01:21:47 Understanding React 01:26:56 How the Web Worked Before React 01:27:58 Why React Exists and How It's Different 01:31:23 React Hands-On Demo 01:33:54 Hands-On Example 2 01:37:56 Popularity of React 01:38:41 What Do You Need for React? 01:39:52 Node.js Installation 01:41:45 Create React App 01:46:22 Installing and Setting Up VS Code 01:50:04 Project Structure 01:53:11 Experimenting :) 01:54:56 Setting Up Home Page 02:04:22 Setting Routes 02:12:41 Building Dashboard 02:25:05 Fixing CORS Issue and Testing Application 02:36:52 Improving Interface and Final Touches 02:43:19 Thank You
2024. 8. 22.
Join this channel to get access to perks: https://www.youtube.com/@aicodeking/join In this video, I'll be telling you about the newly released Opensource Qwen-2.5 Models. There are 13 new models in this release which includes Qwen2.5 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B / Qwen2.5-Coder: 1.5B, 7B, and 32B and Qwen2.5-Math: 1.5B, 7B, and 72B. These new models are amazing and are now the BEST SOTA Opensource Models.This model is fully opensource and can be used locally for FREE. It is even better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it. ----- Key Takeaways: 🔥 Qwen 2.5 Series Launches with 13 New Models – Qwen has just unveiled 13 advanced models, including general task, coding, and math models! Explore how these models outperform their predecessors in AI performance and capabilities. 💻 Qwen 2.5 Coder Model Crushes Benchmarks – The Qwen 2.5 Coder Model, trained on a whopping 5.5 trillion tokens, is setting new standards in coding evaluations and beating bigger models like DeepSeek V2! 📊 72B Model Leads in AI Benchmarks – The massive 72B model surpasses the previous Qwen2 and even competes closely with models like Llama 3.1 and other high-parameter AI models. Check out the impressive benchmark results! 🧠 New Math Model with Chain of Thought Reasoning – The new math model introduces a powerful Chain of Thought mechanism, enhancing its ability to tackle complex problems with step-by-step reasoning similar to O1 models! 🌐 Supports 29+ Languages and 128K Token Context – These models are multilingual powerhouses, supporting over 29 languages with the ability to handle up to 128K tokens in context, making them versatile for global AI applications. 🚀 Closed-Source Qwen Plus and Turbo Models – The exclusive Qwen 2.5 Plus and Turbo models are only accessible via API, boasting state-of-the-art performance against other closed-source competitors like GPT-4O Mini. 🔧 Available on Ollama and HuggingFace – Experience the power of Qwen 2.5 models locally on Ollama or test them on the HuggingFace space. These models are pushing the boundaries of open-source AI development! ----- Timestamps: 00:00 - Introduction 00:07 - About Qwen 2.5 04:38 - Qwen2.5 Coder Models 06:22 - Qwen2.5 Math Models 07:15 - How to use & Testing Updates 08:08 - Ending
2024. 9. 19.
[개발자의 품격] 품격있는 개발자 되기! #코딩 #개발자 #라이브
2022. 9. 22.
I recently switched from iTerm2 to Alacritty and in this video I show you everything I do to create a minimal, amazing & fast terminal setup with it on macOs. I've really enjoyed this change. Hope you guys enjoy the video! ✍🏽 Blog Post With Code & Commands: https://bit.ly/3y2VhHw 💻 Source Code/Dotfiles: https://bit.ly/4cFlPyq UPDATE: After making this video, many of you recommended WezTerm and I decided to give it a try. It's awesome, so thank you! Though Alacritty works great, WezTerm is a bit better in my opinion. I've added a ~/.wezterm.lua config file to the repo: https://github.com/josean-dev/dev-environment-files/blob/main/.wezterm.lua. This is all you need to change to have pretty much the same setup as the one shown in this video, but with WezTerm instead. Thanks! 📧 Subscribe To My Newsletter: https://buttondown.email/josean ☕️ Help Support Me And The Channel: https://www.buymeacoffee.com/joseanmartinez 🔗 Helpful Links Alacritty configuration docs: https://bit.ly/4dm4ATc Toml spec: https://bit.ly/4dl3VkX Alacritty Themes: https://bit.ly/3Qq2GqI 🎥 Related/Helpful Videos 7 Amazing CLI Tools You Need To Try: https://youtu.be/mmqDYw9C30I How I Setup & Use Tmux: https://youtu.be/U-omALWIBos How To Use Setup Neovim in 2024: https://youtu.be/6pAG3BHurdM ⏰ Timestamps 00:00 - Introduction 00:29 - Install homebrew 01:23 - Install alacritty 01:55 - Install git 02:02 - Install nerd font 02:32 - Create config file 03:30 - Window configuration 05:03 - Font configuration 05:32 - True colors (for tmux) 05:52 - Setup p10k theme 07:38 - Setup theme colors 09:46 - Better history completion 11:20 - zsh-autosuggestions 11:54 - zsh-syntax-highlighting 12:43 - eza (better ls) 13:13 - zoxide (better cd) 14:25 - Setup tmux 15:59 - Conclusion
2024. 5. 3.
소스코드 https://github.com/ChangguHan/java-async/blob/main/src/main/java/org/example/javaasync/n7_springasync/SpringAsyncApplication.java 00:29 소스코드 설명 04:06 로그분석 05:06 자바 비동기 총정리 문의: cottage123@gmail.com
2024. 4. 27.
Sending emails in React with Resend and React email is a deadly combination! I walk you through quickly on how you can setup this tech stack. I have a full tutorial on my YouTube channel going over Resend. #Reactjs #nextjs #typescript
2024. 5. 4.