잠시만 기다려 주세요.
한국 Elastic 사용자 그룹
2022. 6. 10.
2022-06-09 진행한 Elastic 웨비나 입니다. 다음 내용에 대해 설명합니다. - Elasticsearch 의 시스템 및 데이터 구조 (Node, Index, Shard) - Alias, Rollover, API - Datastream - Integrations, Elastic Agent, Fleet
*AWS 강의실 오픈 채팅방 : https://open.kakao.com/o/g7pIU9wf *AWS 강의실 카페 : https://cafe.naver.com/awsclassroom/240 *AWS 강의실 공식 인프런 강의 : https://lecture.awsclassroom.kr
2024. 10. 27.
🧑🏻💻 2년이상 준비한 비전공자 프론트 🔍 링크모음 : https://solo.to/dongjun_yang 🔥 이력서판매 - 템플릿/합격이력서/기업추천 🦄 유데미강의 - 실전 프로젝트 설계 🍀 인프런강의 - AWS서버리스 🍀 인프런강의 - AWS ElasticSearch 🍀 인프런강의 - Express + AWS EC2 RDS 🍀 인프런강의 - 이력서 포트폴리오 🍀 인프런강의 - 프론트엔드 로드맵(전자책증정) 🍀 인프런강의 - 백엔드 로드맵(전자책증정) 🎧 이력서, 포트폴리오 상담 📚 전자책 (프론트엔드 로드맵) 📔 전자책 (백엔드 로드맵) 🍓 디스코드 커뮤니티 - 구독하시고 디스코드에 질문해보세요!
2024. 8. 11.
Which prompt format is BEST for your AI agents? Is it Markdown, XML, or Raw Prompts? 🚀 Ready to unlock the true potential of your AI agents? In this video, we're diving deep into the world of prompt formats to find out which one reigns supreme: Markdown, XML, or Raw Prompts. Whether you're a seasoned AI engineer or just starting out, understanding the best prompt format can drastically improve your AI workflows and performance. 🔥 In the past few weeks, we've seen incredible advancements in large language models like Llama-3.1 8B, Llama-3.1 405B, and Mistral Nemo. These models are pushing the boundaries of AI capabilities, and we're here to explore how different prompt formats can optimize their performance. Inspired by Anthropic's XML format insights, this video will help you master prompt engineering and choose the best format for your AI agents. 🛠️ We're not just talking theory; we're running real tests with the Prompt Testing Framework Promptfoo! Watch as we compare Markdown, XML, and Raw Prompts across multiple models, including the latest Llama-3.1 405B and Mistral Nemo. We'll show you how each format performs in various scenarios, from simple bullet summaries to complex YouTube chapter summaries and AI command selectors. 🌟 Hit the like and subscribe for more insights on prompt engineering, AI agents, and agentic workflows. Stay ahead of the curve and transform your AI projects with the best prompt formats. 💡 Key takeaways: - Prompt Format: Discover why XML tags might be the best format for maximizing prompt performance and accuracy. - Surprising Results: See how well raw prompts perform against structured formats (hint: it's not as bad as you think) - Markdown Prompt: Learn when to use Markdown for readability and ease of use. - Raw Prompts: See how raw, unformatted prompts stack up against structured formats. - Llama-3.1: Get insights into the latest models like Llama-3.1 8B and 405B, and how they handle different prompt formats. - Mistral Nemo: Explore the performance of Mistral Nemo in various prompt scenarios. - AI Agent: Understand how to build robust AI agents with the right prompt formats. - Agentic Workflow: Learn how to optimize your agentic workflows for better results. Join us as we put these prompt formats to the test and find out which one is the best for your AI agents. Whether you're working on AI coding assistants, personal AI assistants, or complex agentic workflows, this video is packed with actionable insights to help you succeed. 🔗 Resources 📄 Why use XML tags https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags#why-use-xml-tags 🧪 Start testing your prompts https://github.com/disler/elm-itv-benchmark 🎥 Previous promptfoo testing video https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/use-xml-tags#why-use-xml-tags 🎓 GPT-4o mini SOTA Accuracy TRICK https://www.youtube.com/watch?v=0Z2BQPuUY50 📢 Mistral AI large enough https://mistral.ai/news/mistral-large-2407/ 📖 Chapters 00:00 Wow Llama 3.1, Mistral Large 2, and Gpt-4o mini 01:25 What's the best prompt format? 02:48 Promptfoo Test 1 - Bullet Summary 05:00 Promptfoo Test 2 - YouTube chapter summaries 07:18 Promptfoo Test 3 - Personal AI Commands 10:03 Promptfoo Test 4 - Nuxt Vue Component Generation 11:11 Promptfoo Test 5 - Code Debugging 14:20 Promptfoo Test 6 - Update Config File 15:50 Promptfoo Test 7 - QA Chatbot 17:03 Promptfoo Test 8 - Script to Key Ideas 18:30 Why use XML? Why use Markdown? #prompt #agentic #testing
2024. 7. 29.
https://guebin.github.io/SS2024/
2024. 10. 3.
[설명] 이번 회는 2024년 6월 백로그입니다. [프로젝트해시태그] #backlog [관련링크] - Kubernetes 첫 deploy 성공하기 : https://youtu.be/WxRqh3PGWPU - Obsidian Dataview : https://youtu.be/7J2PiCCFV0g - 태깅 오염에 대하여 : https://ohhoonim.blogspot.com/2024/06/blog-post.html - React Spring은 업계 표준이 될 것인가 : https://ohhoonim.blogspot.com/2024/06/react-spring.html - RSC 이해하기 : https://ohhoonim.blogspot.com/2024/06/rsc.html [챕터] 00:00 intro 00:58 이달의 설문 02:39 메인주제1 04:41 메인주제2 05:22 못다한 이야기
2024. 6. 29.
Kamal 배포하기 연습 방송
2024. 10. 19.