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팀노바
2024. 7. 19.
팀노바 홈페이지 https://www.teamnova.co.kr/ 노프팀장이메일 manadra@naver.com 팀노바공식연락처 010-7255-2316 팀노바개발자블로그 https://stickode.tistory.com/ 팀노바 연구 https://teamnovatech.co.kr/ 팀노바에 소프트웨어 개발 의뢰 https://www.teamnova.co.kr/si/intro.html 팀노바 카톡 단톡방 약관동의후 입장 https://url.kr/yuvg49 팀노바기술블로그 https://www.teamnovatech.co.kr/home 카페 http://cafe.naver.com/teamnovaopen 블로그 https://blog.naver.com/manadra 팀노바 개발자블로그 http://teamnova0410-dev.tistory.com 팀노바 유튜브 https://www.youtube.com/channel/UCQIEU_pBV2wkn-gHg7RPvdQ
Learn how to scrape LinkedIn profile data in bulk using Relevance AI. In this video, I will guide you through the quick and easy setup process, perfect for anyone looking to gather LinkedIn data efficiently. Whether you work in marketing, recruiting, sales, or AI automation, this tutorial will be the fastest way to scrape linkedin profile in bulk. 🌐 Join my free community to get the free templates mentioned in this video and all my other templates: https://bit.ly/benaicommunity 💼 AI implementation or consulting? 📆 Book me in here: https://www.benvansprundel.com/ 🔗 My links: Linkedin: https://www.linkedin.com/in/benvansprundel/ X: https://x.com/ben_vs92 💻 Softwares I use (some of these are affiliate-links, thanks!): Relevance AI: https://relevanceai.com/?via=ben Sendspark: https://sendspark.com/?via=ben-ai Make.com: https://www.make.com/en/register?pc=benai Agentive: https://agentivehub.com/ Dumpling AI: https://www.dumplingai.com/?via=ben-ai Chapters: 00:00 - Intro 00:18 - Relevance AI Overview 01:07 - How to set it up 02:44 - Demonstration 03:24 - Adapting the LinkedIn Scraper 04:53 - Personalizing Data Points 👋🏼 About me: I'm Ben, a 3-time founder & Dutch AI entrepreneur. In 2023, I started my AI automation agency: https://www.benvansprundel.com/ In this channel, I help businesses, professionals & aspiring AI entrepreneurs how to build powerful no-code AI Agents & Automations for 10x efficiency. I post new useful AI use cases for businesses weekly.
2024. 7. 1.
안녕하세요. 코딩앙마 입니다 :) 리액트 테스팅 라이브러리를 이용해서 리액트 프로젝트를 테스트 해봅시다! 이번 시간에는 요소를 찾는 getAllBy, queryBy, findBy 등 쿼리들을 알아볼게요. 재생목록 링크 : https://www.youtube.com/playlist?list=PLZKTXPmaJk8JNJKFt7CK0jQvFIytGdf9n ---------------------------------------- 이 수업은 React js, Jest 등 사전 지식이 필요합니다. Jest 강좌 : https://www.youtube.com/playlist?list=PLZKTXPmaJk8L1xCg_1cRjL5huINlP2JKt React js 강좌 : https://www.youtube.com/playlist?list=PLZKTXPmaJk8J_fHAzPLH8CJ_HO_M33e7- #리액트테스팅라이브러리 #react #test
2022. 10. 26.
2024. 4. 2.
If you want to get a job as a programmer, you need to know big O. #tech #webdevelopment #bigonotation 🎨 My Editor Settings - Atom One Dark - vscode-icons - Fira Code Font
2024. 8. 14.
Artificial Intelligence is no doubt the future of not just software development but the whole world. And I'm on a mission to master it - focusing first on mastering AI Agents. In this video I walk you through the decision of deciding if you should go with a local or cloud (managed services) solution for your AI application. This includes your LLMs, RAG pipeline, databases, etc. Managed services (GPT, Claude, Pinecone, etc.) are NOT always the best answer, but neither is local (Ollama, HuggingFace, Chroma, etc.). There IS a time and place for both! A hybrid approach is also great. Lot to cover here so let's dive in! Cloud === Managed Services - I just use "Cloud" in the title + thumbnail since it's more concise. 00:00 - 01:12 - Intro 01:13 - 02:23 - Local Tech Stack 02:24 - 03:12 - Cloud Tech Stack 03:13 - 09:12 - Local vs. Cloud Decision Tree 09:13 - 10:13 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ You can download the local vs. managed services decision tree here: https://github.com/coleam00/ai-agents-masterclass/tree/main/local-or-managed-llm-rag And view the decision tree diagram easily with this link: https://drive.google.com/file/d/1Tj_WupPososWl4_r5dj0c1shzYB1ojIx/view ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos twice a week - Sundays and Wednesdays at 7:00 PM CDT!
2024. 9. 12.
The NEW Claude Sonnet 3.5 model is the best model yet. In this video you find out why. 👉🏼Join the BEST Ai Community: https://www.skool.com/ai-foundations/about -------------------- 🛒AI Templates, Prompts and Courses for ChatGPT and Midjourney: https://aifoundations.io/shop 📰Subscribe to my newsletter: https://aifoundations.io 🔗Follow me on Linkedin: https://www.linkedin.com/in/drake-surach-823530203/ 🐥Follow me on twitter: https://twitter.com/drake0DTE -------------------- ⌚Chapters: 0:00 - New Claude 3.5 Sonnet Update 0:41 - Ai Foundations Community 1:34 - Interactive dashboard from PDF 3:20 - Visualize anything with animations 4:55 - Animations from a static image 6:27 - Create web applications 8:08 - Game creation 9:46 - 8 bit images 10:43 - 3D simulations 11:58 - Comparing data 13:22 - System architectures 14:24 - SEO application build 17:29 - Object detection system real-time 19:47 - Card counting simulator and advanced reasoning 22:58 - Creating mind maps 24:03 - Interactive posters for deep learning and research 26:48 - Templatizing prompts for Claude projects 28:02 - The Best Way to Learn AI #claude #anthropic
2024. 6. 27.