잠시만 기다려 주세요.
오준석의 생존코딩
2024. 7. 8.
00:00 Freezed 사용하는 이유 01:05 목차 01:37 Live Template 활용 04:13 g.dart, freezed.dart gitignore에 추가 05:05 JsonAnnotaiont 관련 경고 제거 06:08 lint 제외 07:00 불필요한 기능 제거, 빌드 속도 향상 09:35 Flutter-Toolkit 플러그인 10:36 Dart Mappable 플러그인 #flutter #androidstudio #freezed 영상에서 소개하는 코드들 : https://gravel-pike-705.notion.site/Flutter-ba2c3266096a432080cc5a30872e4ff4?pvs=4 후원은 채널 가입 또는 슈퍼챗으로 하실 수 있습니다 https://www.youtube.com/channel/UCz9n4yRsYYryRjrSCK0-YWA/join 더 많은 강의 영상, 1대1 코칭, 컨설팅 : https://survivalcoding.com 후원 : https://toon.at/donate/ohdev -- * 유료 강의 * ► Flutter 초입문 왕초보편 : https://inf.run/wE7R ► Flutter 입문 : https://inf.run/Xkto ► Flutter 초급 : https://inf.run/jjkd ► Flutter 응용 : https://inf.run/WPfx ► Flutter 중급 1편 - 클린 아키텍처 : https://inf.run/uiQy ► Flutter 중급 2편 - 실전 앱 개발 : 미국 주식 앱 (with 클린 아키텍처) : https://inf.run/aDZX ► Flutter 중급 3편 - 의존성 주입 가이드 https://inf.run/Nn2U ► 코틀린 문법 총정리 - 1시간 https://inf.run/NMmi ► 모던 안드로이드 - Jetpack Compose 입문 : https://inf.run/kxwL ► 모던 안드로이드 - Kotlin과 Jetpack 활용 https://inf.run/zgJu ► Java 디자인패턴 https://inf.run/azGJ — 책을 선호하나요? Android와 iOS를 동시에 개발하는 크로스 플랫폼에 관심이 있다면 2020 세종도서 학술부문 선정! ► 플러터 생존코딩 : http://www.yes24.com/Product/Goods/87664198 안드로이드를 제대로 배우고 싶다면. 2018 세종도서 학술부문 선정! ► 될 때까지 안드로이드 : http://www.yes24.com/Product/Goods/59298937 코틀린도 배우고 안드로이드는 간단히 맛을 보고 싶다면. 예제 중심! ► 안드로이드 생존코딩 코틀린편 : http://www.yes24.com/Product/Goods/64494679
Are you confused where to start coding/what to learn/what roadmap to take? Take this free 2 minute quiz: https://codedamn.com/career-path-quiz 👉 Checkout codedamn on social: ✨ Instagram: https://cdm.sh/ig ✨ Twitter: https://cdm.sh/twt If you found the video valuable, please leave a like and subscribe ❤️ It helps the channel grow and helps us push out more valuable content.
2023. 12. 30.
Learn how to build a robust and FREE medical RAG (Retrieval Augmented Generation) knowledge base using Pinecone, Next.js, and LangChain! This comprehensive tutorial guides you through every step of the process, from setting up your development environment to deploying your application. In this video, you will: Understand the fundamentals of RAG and its applications in medical AI. Set up a Next.js project and design a user-friendly interface with Tailwind CSS and Shadcn UI. Implement a backend API for seamless data updates using Pinecone. Effortlessly load and process medical documents with LangChain's powerful document loaders. Utilize Transformers.js to generate embeddings locally for FREE, saving you time and money. Optimize performance by chunking and embedding documents in batches. Create a dynamic user experience with a progress bar to track upload progress. Master the integration of Pinecone, Next.js, and LangChain to build a cutting-edge medical RAG application. This tutorial is perfect for: Developers interested in building AI-powered medical applications. Healthcare professionals looking to leverage the power of RAG for improved diagnostics and research. Anyone curious about the latest advancements in natural language processing and AI. Chapters: 00:00 Overview of the Medical Report Analysis App and RAG 01:33 Live Demo: What We're Building 04:53 Setting Up Your Development Environment: Creating a Next.js App 08:08 UI Design: Styling with Tailwind CSS and Shadcn UI 15:30 Adding File Upload Functionality 17:43 Building the Backend API: Updating Your Pinecone Database 19:31 Load PDF and Text documents using LangChain's Document Loader 22:19 Integrating Pinecone with Next.js: Initializing the Client 25:56 Batch Jobs for Upserting to Your Vector Database 28:57 Running Hugging Face Models Locally with Transformers.js 34:19 Preparing Your Data for Embedding: Chunking Documents with LangChain Text Splitters 38:03 Optimizing for Performance: Batch Processing for Embedding and Upserting 46:19 UX Improvement: Implementing a Progress Bar 54:22 UX Improvement: Fetching File List for Uploads Key Technologies Covered: RAG (Retrieval Augmented Generation) Pinecone (Vector Database) Next.js (React Framework) LangChain (LLM Application Framework) Transformers.js (Hugging Face Model Library) Tailwind CSS (Utility-First CSS Framework) Shadcn UI (React UI Component Library) By the end of this video, you'll have a solid foundation for building your own medical RAG knowledge base and be well-equipped to explore the vast potential of this exciting technology! Don't forget to like, subscribe, and hit the notification bell for more insightful AI tutorials! Links: Complete code of this tutorial here: (I have changed the name of the repository, but it's the same one) https://github.com/KoushikJit/almost-md-knowledge-base.git Medical report analyzing app demo here : https://youtu.be/ADpVf8kDJN0 Complete code of the medical report analyzing app in Next.js: https://github.com/KoushikJit/almost-md.git
2024. 9. 1.
2024. 10. 25.
In this tutorial I explain how to automatically scrape Amazon search results using Puppeteer, Scraping Browser and n8n. In this tutorial I cover: 1. Creating a base Puppeteer script to retrieve data from Amazon search results (product names, prices, ratings etc.) 2. Key issues while scraping Amazon 3. Implementing Scraping Browser into the code 4. Adjusting the script and deploying function to Google Cloud Functions 5. Automating the scraping using n8n (transferring results to Baserow) Resources: 1. Puppeteer script (for local use): https://gist.github.com/workfloows/d70b25c58f5895d3e1cf988f7383ce6b 2. Puppeteer script (for local use with Scraping Browser): https://gist.github.com/workfloows/1d5aea87727b94de80868e58d1a9c437 3. Puppeteer script (for use with Scraping Browser on Google Cloud Functions): https://gist.github.com/workfloows/5accaca3bc3a00b41155165c54c88528 4. Scraping Browser API: https://brightdata.com/products/scraping-browser 5. Docs for Scraping Browser troubleshooting : https://help.brightdata.com/hc/en-us/articles/15575528373137-Troubleshooting My other tutorials: 1. How to build voice Telegram AI bot with n8n, Whisper and ElevenLabs: https://workfloows.gumroad.com/l/telegram-ai-voice-bot 2. How to build Telegram AI bot with n8n and 🦜🔗 LangChain (FlowiseAI): https://youtu.be/Gc2lW5BiGDQ 3. Web scraping data with n8n and Puppeteer: https://youtu.be/YonNJqAAxdg 4. How to automate Notion databases using n8n: https://youtu.be/up2Wi3Y9a-4 5. Using webhooks in n8n (parameters, responses and triggers): https://www.youtube.com/watch?v=IvUYJQkf6sA Subscribe my newsletter: https://workfloows.com/ Visit my Gumroad profile: https://workfloows.gumroad.com/ Follow me on Twitter/X: https://twitter.com/workfloows Follow Workfloows on LinkedIn: https://www.linkedin.com/company/workfloows/ Disclaimer: I cannot be held responsible for any consequences resulting from the use of the information provided in this tutorial. Make sure to obtain proper authorization before engaging in web scraping activities, or consider using proxies to protect your online presence and ensure ethical scraping practices. Create your Bright Data account and get $10 credit: https://brdta.com/workfloows Create your n8n cloud account here (affiliate): https://n8ngmbh.partnerlinks.io/6hvl7yx64x19 Screen recording software that I use (affiliate): https://www.screen.studio/@jmMwX 0:00 Final result 1:05 Step 1: Install Puppeteer 1:57 Step 2: Add scraping script 6:48 Step 3: Connect Scraping Browser API 9:14 Step 4: Adjust code to Google Cloud Functions 9:59 Step 5: Deploy function to Google Cloud Functions 12:03 Step 6: Automate scraping with n8n
2023. 9. 20.
Visit TensorArt & Get Extra FREE 100 Credits : https://tensor.art/u/761703886053474892?source_id=AICodeKing TensorArt now supports Flux, SD3, hunyuan-dit, and Kolors model online training functions and comfyUI functions. ---- In this video, I'll be telling you that how you can custom train Flux Image models which is a new Text-To-Image generator and beats Midjourney, Stable Diffusion-3 and every other text-to-image generator. You can train it with your custom images including your face. I'll be telling you that how you can train and use it for FREE without GPU and for 100% FREE without any Installation. You can use it as a fully free alternative to Midjourney. ---- Key Takeaways: 🚀 Discover the trending Flux model and how to fine-tune it using your own custom data and images—all for free! 🎨 Learn how to train your own AI model on Tensor Art, a powerful and free platform for generating and training AI models. 📸 Unleash the full potential of Flux by using up to 1000 images and auto-captioning with Vision LLM for better training results. ⚙️ Maximize your model’s performance by fine-tuning with epochs and trigger words, perfect for creating your custom AI with specific styles! 🧠 See how simple it is to create and train your AI with Flux, and why uploading more images leads to better results! 🏆 Get ahead with exclusive tips on using Tensor Art to publish or download your models and win exciting prizes in the Flux training contest! 💰 Don’t miss out on earning extra credits by signing up with the special link, giving you more power to create and train on Tensor Art! ---- Timestamps: 00:00 - Introduction 00:08 - About Flux-1 Schnell / Dev & Training 00:35 - About TensorArt (How to use & Train Flux-1 for Free) 07:33 - Ending
2024. 8. 25.
그라파나 인프런 강의 홍보를 위한 영상 입니다. 링크: http://url.kr/graf #그라파나 #쿠버네티스
2023. 5. 15.