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AI Arcade
2024. 9. 1.
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
(제5회 카카오테크밋 패널토의 내용의 일부입니다.) "[Phocus] 사용자 경험 중심 스벨트 이미지 뷰어 라이브러리" jordan(송가람님)의 발표영상 보러 가기 https://youtu.be/kB-O2vy9_ek #kakaotechmeet #카카오테크 #frontend #프론트엔드 #개발자 #터치 #인터랙션 #테스트 #이미지뷰어 #imageviewer
2024. 4. 30.
[Napkin] 텍스트 내용도 자동 생성하고 그 내용을 시각화하는 인공 지능 서비스 하나 https://www.napkin.ai/
2024. 9. 9.
안녕하세요. 뉴렉처(https://www.newlecture.com)입니다. 강의 코드 예제 https://github.com/newlecture-corp/java-programming 이 영상은 프로그래밍을 처음 공부하는 분들을 위해 준비한 자바 코딩 영상입니다. 한 번에 모든 것들을 이해할 수는 없겠지만 모르는 부분이 있더라도 계속 공부하신 후 전체를 두 번 듣는 것이 더 효과적일 수 있습니다. 나중에 두 번째는 분명히 이해되는 부분이 많아질 것입니다. 다들 파이팅!
2024. 7. 31.
Alex Wieckowski is on a mission to make you fall in love with reading again—and he thinks AI can help. Alex, who writes a newsletter that captures lessons from books he’s read and tips to become a better reader, Alex & Books, is a creator with over 1 million followers across social platforms. He’s also the author of a book of quotes that will inspire you to read more, Learn to Love Reading https://www.amazon.com/Learn-Love-Reading-Powerful-Inspire/dp/B09K1TWJDQ. We spent an hour talking about how Alex uses AI to be a smarter reader, and we tested out a few strategies live on the show, including: - prompting ChatGPT to recommend books that will help me lead a creator-run business better, - understanding the deeper themes in Hermann Hesse’s novel Siddhartha https://www.amazon.com/Siddhartha-Hermann-Hesse/dp/1438279337 with - large language models, and - using AI to create an actionable strategy for Alex to build a course based on the frameworks in Alex Hormozi’s business strategy book $100M Offers https://www.amazon.com/100M-Offers-People-Stupid-Saying-ebook/dp/B099QVG1H8. Alex clued me into what he’s learned about developing a good reading habit, and his best advice on how to reignite your passion for books. We also discuss Alex’s predictions on how companies like Neuralink, which make use of a brain-computer interface—a technology that allows users to control external devices through brain activity—will change the future of reading and books. Here’s a link to the transcript of this episode. This is a must-watch for book lovers, people struggling to finish books, and anyone who wants to take their reading to the next level with AI. If you found this episode interesting, please like, subscribe, comment, and share! Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps: 00:00:00 - Teaser 00:00:34 - Introduction 00:01:36 - Choose physical books over e-readers to boost your memory 00:02:54 - Alex's take on how long books will stay relevant 00:07:40 - Prompt ChatGPT to find your next read 00:13:50 - Articulating Dan's taste in books with AI 00:15:46 - Use AI to find books tailored to solve your problems 00:33:32 - How to use AI as a personal study buddy 00:41:19 - Prompt LLMs to turn insights from books into actionable strategies 01:02:10 - What Alex's rule around buying a new book is 01:16:36 - Alex's advice for anyone who feels like they don't have time to read Links to resources mentioned in the episode: Alex Wieckowski: https://twitter.com/AlexAndBooks_ Alex’s newsletter: https://alexandbooks.beehiiv.com/ The self-improvement book that got Alex into reading: How to Win Friends & Influence People by Dale Carnegie https://www.amazon.com/How-Win-Friends-Influence-People/dp/0671027034 The books that Dan is reading: Children of Memory by Adrian Tchaikovsky https://www.amazon.com/Children-Memory-Adrian-Tchaikovsky/dp/0316466409, Pragmatism as Anti-Authoritarianism by Richard Rorty https://www.amazon.com/Pragmatism-as-Anti-Authoritarianism-Richard-Rorty/dp/0674248910 The books that Alex is reading: Never Enough: From Barista to Billionaire by Andrew Wilkinson https://www.amazon.com/Never-Enough-Billionaire-Andrew-Wilkinson/dp/1637744765, $100M Offers by Alex Hormozi https://www.amazon.com/100M-Offers-People-Stupid-Saying-ebook/dp/B099QVG1H8, Siddhartha by Hermann Hesse https://www.amazon.com/Siddhartha-Hermann-Hesse/dp/1438279337, Outlive by Peter Attia https://www.amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599
2024. 8. 14.
🙋♂️ 도움이 필요하시거나 궁금한 점을 질문하고 싶을 땐 ? ✔️ https://open.kakao.com/o/gegroCTe ✔️ 취준생 & 현업 개발자 오픈채팅방 📙 프로그래밍 과외, 온라인 강의, 컨설팅 📙 ✔️ https://linktr.ee/jscode
2024. 8. 13.
주소 : 파주시 회동길 37-14 202호 제출 서류 : 이력서(사람인 참조), 포트폴리오 제출처 : contact@oj.vision 마감일 : 2024년 8월 31일
2024. 8. 18.