잠시만 기다려 주세요.
Ras Mic
2024. 10. 28.
In this video, I go over the new nextjs 15 release and the new changes that are now in affect Follow me on Twitter: https://dub.sh/ras-twitter Join my Discord: https://dub.sh/discord-rasmic My portfolio: https://rasmic.xyz My Nextjs SAAS Starter Kit: https://starter.rasmic.xyz My Blog Builder & CMS: https://tsafi.xyz Browser I use (Arc): https://dub.sh/my-browser Recording & Editing Software: https://dub.sh/my-editing
Use code YOUTUBE to get an extra 20% off my full Cursor course here: https://www.jointakeoff.com/ Here's how to build your 1st app in Cursor! This video is intended for beginners. I will have more advanced app tutorials coming soon. Repo and instructions here: https://github.com/mckaywrigley/takeoff-cursor-course/blob/main/app/chat/beginner/README.md Follow me on... Twitter/X: https://twitter.com/mckaywrigley GitHub: https://github.com/mckaywrigley
2024. 8. 21.
I can't believe they actually recommend controlled inputs. My god this is bad. Thank you Posthog for sponsoring!!! SOURCE https://x.com/dan_abramov2/status/1842513065952354438 Check out my Twitch, Twitter, Discord more at https://t3.gg S/O Ph4seOn3 for the awesome edit 🙏
2024. 10. 12.
본 강의는 『혼자 공부하는 네트워크』를 바탕으로 제작하였습니다. 👨🏫주요 강의 내용 Ch 03. 네트워크 계층 03-2 IP 주소 00:22 IP의 핵심 기능, 주소 지정 02:04 IP 주소의 구조 05:23 클래스풀 주소 체계 07:57 A 클래스 09:39 B 클래스 11:27 C 클래스 12:48 호스트의 주소 공간을 모두 사용할 수 있는 것은 아님 14:16 클래스별 할당 가능한 주소 개수 ----- ✅어떤 내용을 다루고 있나요? • 거시적/미시적 관점에서 네트워크 살펴보기 • 각 계층에서 통신이 이루어지는 과정 알아보기 • 와이어샤크 실습으로 배운 내용 복습하기 • 안정성, 안전성, 무선 네트워크 관련 심화 주제 알아보기 ⠀ ✅누구를 위한 책인가요? • 웹 개발자가 되고 싶지만 네트워크 지식을 전혀 모르는 비전공자 • 네트워크 전공 수업을 따라가기 어려운 분 • 네트워크 용어가 아리송한 프로그래밍 입문자 • 네트워크 기본 지식이 부족한 주니어 웹 개발자 🔗도서 자세히보기: https://bit.ly/3xploYW 🔗저자님께 질문하기: https://github.com/kangtegong/self-learning-cs2/issues #네트워크 #IP주소 #클래스풀주소체계
2024. 8. 6.
SVG를 생성하기 위한 원하는 지역의 SHP 파일을 추출하는 내용은 아래 영상을 참고하시기 바랍니다. https://www.youtube.com/watch?v=1vkI5tmIlgI
2024. 10. 22.
① (개발) 파이썬 3.13에 대해 알아야 하는 모든 것 ② (보안) SymCrypt - 마이크로소프트의 양자 내성 암호화 라이브러리 ③ (개발) 백만 개의 체크박스에 숨겨진 비밀 ④ (오늘의 논쟁) 모놀리스를 분해해야 할까요? ⑤ (도구) 파일 내용도 검색하는 ripgrep ⑥ (팁) JSON을 자바 레코드로 빠르게 변경하려면? ⑦ (아키텍처) Redis에서 SQLite로 변경 ⑧ (우리가 몰랐던 사실) AI가 교통 신호등 이미지 캡차 100%에 도전 ⑨ (HR) 가트너 “AI로 인해 소프트웨어 엔지니어 80% 역량 변화 필요” ~~~~~~ * VS Code로 쉽게 시작하는 Git, GitHub * 인프런: https://inf.run/LPpDg * React + API Server 프로젝트 개발과 배포 #CICD * https://bit.ly/oklearnreact
2024. 10. 16.
Fine-Tuning SOTA GPT-4o: You probably don't need it - BUT when you do, here's how to do it. 🔗 Reusable OpenAI Fine-Tune Codebase https://github.com/disler/reusable-openai-fine-tune 🔗 Black Forest Labs https://blackforestlabs.ai/ 🧠 OpenAI GPT-4o Fine-Tune https://openai.com/index/gpt-4o-fine-tuning/ 🧠 Replicate Black Forest Labs Flux-Pro https://replicate.com/black-forest-labs/flux-pro 🚀 Welcome back, engineers! In this video, we dive into the incredible world of fine-tuning with the newly released GPT-4o. Have you ever wondered why you should fine-tune a model and when it makes sense to do so? We’ve got you covered! 🔥 We’ll start with a discussion of the state-of-the-art fine-tuned GPT-4o model by Cosine Genie (ai software engineer) that’s setting new benchmarks on the software engineering verified benchmark. Discover how fine-tuning can bring game-changing performance gains and cost savings, potentially transforming your applications from good to exceptional. 🛠️ Here’s what you can expect: - Legit Fine-Tuned Use Case: See a real-world application of a fine-tuned GPT-4o model. - When and Why to Fine-Tune: Understand the key scenarios where fine-tuning can be beneficial. - Fine-Tuned Code Base: Get hands-on with a code base designed for fine-tuning any OpenAI model, including the latest GPT-4o. 📸 We’ll showcase "Vision Grid", an unreleased tool that uses fine-tuned GPT-4o to create stunning image prompts. Watch as we generate INSANELY, STUPIDLY, high-quality images using Black Forest Labs' Flux 1 image generation models, demonstrating the power of fine-tuned models in action. 💡 We're talking prompt to prompt to images so whether you’re a prompt engineer, AI enthusiast, or software developer, this video is packed with insights on leveraging fine-tuning to enhance your GenAI projects. Learn how to reduce token usage, handle complex domain-specific tasks, and achieve consistently specific outputs. 👍 Hit the like button, subscribe, and join us on this journey as we push the boundaries of generative AI. Stay ahead of the curve with cutting-edge techniques and practical applications that make your work more impactful and efficient. 🛠️ Bonus: Get access to our reusable OpenAI fine-tuning codebase to jumpstart your own projects! 🍓🍓 Fusion Prompt Chain https://youtu.be/0Z2BQPuUY50 🍓 Prompt Chaining https://youtu.be/UOcYsrnSNok #promptengineering #midjourney #llm
2024. 8. 26.