์ ์๋ง ๊ธฐ๋ค๋ ค ์ฃผ์ธ์.
AICodeKing
2024. 9. 19.
Join this channel to get access to perks: https://www.youtube.com/@aicodeking/join In this video, I'll be telling you about the newly released Opensource Qwen-2.5 Models. There are 13 new models in this release which includes Qwen2.5 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B / Qwen2.5-Coder: 1.5B, 7B, and 32B and Qwen2.5-Math: 1.5B, 7B, and 72B. These new models are amazing and are now the BEST SOTA Opensource Models.This model is fully opensource and can be used locally for FREE. It is even better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it. ----- Key Takeaways: ๐ฅ Qwen 2.5 Series Launches with 13 New Models โ Qwen has just unveiled 13 advanced models, including general task, coding, and math models! Explore how these models outperform their predecessors in AI performance and capabilities. ๐ป Qwen 2.5 Coder Model Crushes Benchmarks โ The Qwen 2.5 Coder Model, trained on a whopping 5.5 trillion tokens, is setting new standards in coding evaluations and beating bigger models like DeepSeek V2! ๐ 72B Model Leads in AI Benchmarks โ The massive 72B model surpasses the previous Qwen2 and even competes closely with models like Llama 3.1 and other high-parameter AI models. Check out the impressive benchmark results! ๐ง New Math Model with Chain of Thought Reasoning โ The new math model introduces a powerful Chain of Thought mechanism, enhancing its ability to tackle complex problems with step-by-step reasoning similar to O1 models! ๐ Supports 29+ Languages and 128K Token Context โ These models are multilingual powerhouses, supporting over 29 languages with the ability to handle up to 128K tokens in context, making them versatile for global AI applications. ๐ Closed-Source Qwen Plus and Turbo Models โ The exclusive Qwen 2.5 Plus and Turbo models are only accessible via API, boasting state-of-the-art performance against other closed-source competitors like GPT-4O Mini. ๐ง Available on Ollama and HuggingFace โ Experience the power of Qwen 2.5 models locally on Ollama or test them on the HuggingFace space. These models are pushing the boundaries of open-source AI development! ----- Timestamps: 00:00 - Introduction 00:07 - About Qwen 2.5 04:38 - Qwen2.5 Coder Models 06:22 - Qwen2.5 Math Models 07:15 - How to use & Testing Updates 08:08 - Ending
Download the full code for free: https://ko-fi.com/s/abe25c5e70 Give the game a try ๐ https://meteor-dash.vercel.app/ This guide will help you make a cool computer vision project that will make you stand out as you learn to create AI apps. Complete Playlist link ๐ https://www.youtube.com/playlist?list=PLhiuRfXhpqSbEApUrmq04ATAuwlxdWwSl Donโt forget to like, and subscribe to stay updated with the latest videos. Find other cool Next.js + AI projects here ๐ https://youtube.com/playlist?list=PLhiuRfXhpqSbwM0rCuv7-mrCUSiIVyzAz&si=RinnIxuHdvQLnpzD Connect with Me: - [LinkedIn](https://www.linkedin.com/in/koushik-sarkar-iimc/) - [GitHub](https://github.com/KoushikJit) Happy coding! ๐
2024. 7. 14.
๊ฐ๋ฐ ๋ชปํ๋ ๊ฐ๋ฐ์์ง๋ง์์ ํ์ค์ ์ธ ์ด์ 1. ์์ง๋ฐ์ฝ ์์ง๋ ๋ฉํ๊ณผ ์ฒ ํ์์ ๋์ด. ๋ด๊ฐ์ ์ ํ๋ธ์์ ๊ต์ก์ฒ ํ์ด๋ ์๊ฐ์ ์๊ธฐํ ๊น? ๊ทธ๋ฆฌ๊ณ ๊ทธ๋ฐ ๊ณ ๋ฆฌํ๋ถํ ์๊ธฐ๋ฅผ ํ๋ ๊ต์ก๊ธฐ๊ด์์ ๊ณ ์กธ๋ค์ด๋ ๋น์ ๊ณต์๋ค์ด 8000๋ง์ ์ฐ๋ด ์ ์ ๊ฐ๋ฐ์๋ค์ด ๋์ฌ๊น? ์ธ๊ฐ์ ์์ง์ด๋๊ฒ์ ์ฒ ํ์ 2. ๊ณ ํต์ด๋ ์ธ๋ด๋ฅผ ๋ฑํ์ ํ๋ ์ฌํ ํ์กฐ ์ธ์ ๋ถํฐ์ธ๊ฐ ์ธ๋ด๋์ฐ๊ณ ๊ทธ์ด๋งค๋ ๋ฌ๋ค ๊ฐ์ฑ์ด ์ฌ๋ผ์ง ๊ทธ๋ฅ ํผํด์์์ ์ ์ฌ์ ธ ์๋ ๊ฒฝ์ฐ๊ฐ ๋ง์. ๋น์ฐํ ํด์ผํ๋๊ฑฐ๋ฅผ ์๋ ค์ฃผ๋๊ฑฐ์. 3. ๋กค ๋ญํน 1์ ๋ชปํ๋ค๊ณ ์ํ ๊ฑฐ ์๋๋ฉด์ ์ฝ๋ฉ์ ์ฌ๋ฅ์ถฉ ๋ชป์ด๊ธด๋ค๋ฉฐ ์ฌ๋ฅํํจ. ์๊ธฐํฉ๋ฆฌํ์. ํ๋ ธ๋ฐ ํํ์ด์ง https://www.teamnova.co.kr/ ๋ ธํํ์ฅ์ด๋ฉ์ผ manadra@naver.com ํ๋ ธ๋ฐ๊ณต์์ฐ๋ฝ์ฒ 010-7255-2316 ํ๋ ธ๋ฐ๊ฐ๋ฐ์๋ธ๋ก๊ทธ https://stickode.tistory.com/ ํ๋ ธ๋ฐ ์ฐ๊ตฌ https://teamnovatech.co.kr/ ํ๋ ธ๋ฐ์ ์ํํธ์จ์ด ๊ฐ๋ฐ ์๋ขฐ https://www.teamnova.co.kr/si/intro.html ํ๋ ธ๋ฐ ์นดํก ๋จํก๋ฐฉ ์ฝ๊ด๋์ํ ์ ์ฅ https://url.kr/yuvg49 ํ๋ ธ๋ฐ๊ธฐ์ ๋ธ๋ก๊ทธ https://www.teamnovatech.co.kr/home ์นดํ http://cafe.naver.com/teamnovaopen ๋ธ๋ก๊ทธ https://blog.naver.com/manadra ํ๋ ธ๋ฐ ๊ฐ๋ฐ์๋ธ๋ก๊ทธ http://teamnova0410-dev.tistory.com ํ๋ ธ๋ฐ ์ ํ๋ธ https://www.youtube.com/channel/UCQIEU_pBV2wkn-gHg7RPvdQ
2024. 9. 26.
Want to build your own ChatGPT-like chatbot without relying on OpenAI's API? This video shows you how to do just that using LangChain and Ollama! LangChain is a powerful framework for building AI-powered applications, and Ollama is the latest cutting-edge platform to run large language model that can generate human-quality text. Join us as we dive into the world of AI and build this chatbot using typescript/javascript. By the end of this video, you'll have your very own AI assistant ready to answer your questions and complete your requests! Github Repo: https://github.com/KoushikJit/gemini-stream Quickstart Guide to Ollama: https://youtu.be/lfewnEWwxQE?si=QNB9wFbe2AocP6kS Stream LLM Responses in NextJS chat app: https://youtu.be/PEbt9a321JU?si=C90Zn5dSdwXh48y5 Make Ollama WebAPI Public: https://youtu.be/x3gq1AJ19m0?si=84EoLYMnn6W9hftX
2024. 3. 31.
Want to do some mathematical operations in Gleam? How about joining strings? Now you can! __________________________________________ Check out my other socials! ๐ฎ Discord โถ https://discordapp.com/invite/bWrctJ7 ๐ฆ Twitter โถ https://twitter.com/IsaacHarrisHolt ๐ฅ๏ธ Portfolio โถ https://ihh.dev ๐ Blog โถ https://isaacharrisholt.com __________________________________________
2024. 4. 30.
I love coding my own AI agents, but sometimes you just need something easy to make with no code that just WORKS. And VectorShift is one of my favorite platforms to build exactly that! VectorShift is a drag and drop no code workflow builder similar to n8n with a big focus on AI. So it's the perfect platform for me to show you how you can build a full RAG AI agent in less than 4 minutes! I call out that n8n is similar so real quick: with n8n it would actually take a good amount longer to build this RAG agent since you would have to set up your own pipeline as a workflow to ingest the documents from Google Drive and create a webpage/API/Slack bot around the agent. That's why I don't use n8n here to build this agent even though I love n8n too! 00:00 - 01:24 - Intro 01:25 - 02:39 - Getting Started with VectorShift 02:40 - 06:15 - Building the RAG AI Agent in 4 minutes 06:16 - 07:26 - Testing the RAG Agent 07:27 - 08:40 - Deploying the RAG Agent 08:41 - 09:33 - VectorShift Templates 09:34 - 10:05 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Check out VectorShift here (great free tier to get started!): https://vectorshift.ai/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 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. Join me as I push the limits of what is possible with AI. I'll be uploading videos three times a week - Sundays, Wednesdays, and Fridays at 7:00 PM CDT! Sundays and Wednesdays are for everything AI, Fridays are specifically for platform showcases (sometimes sponsored, always creative in approach!).
2024. 9. 28.
https://okdevtv.com/mib/ai ~~~~~~ * VS Code๋ก ์ฝ๊ฒ ์์ํ๋ Git, GitHub * ์ธํ๋ฐ: https://inf.run/LPpDg * React + API Server ํ๋ก์ ํธ ๊ฐ๋ฐ๊ณผ ๋ฐฐํฌ #CICD * https://bit.ly/oklearnreact
2024. 9. 12.