잠시만 기다려 주세요.
전북대학교 최규빈 교수
2024. 10. 17.
기계학습활용 2024-06wk-1, 07wk-1 (1/14)
카레이싱에서 자동차에서 출력되는 여러 지표들을 수집하는 데이터 파이프라인을 만들어 보았습니다. 자세한 구축 관련 코드와 설명은 https://blog.voidmainvoid.net/478 에서 확인하실 수 있습니다.
2022. 7. 17.
오픈 톡방 (https://open.kakao.com/o/gGn2mAnc) 코딩에 관심있는 사람들이 토론하기 위해서 카카오톡 오픈 채팅오픈하였습니다. 기본 영상 원본 소스 - https://github.com/you6878/howlmvvm.git
2022. 9. 12.
In this video, I show you how to use Vercel cron jobs with Next.js to automate your tasks. Subscribe 👉 https://youtube.com/@coleblender?sub_confirmation=1 My personal website 👉 https://coleblender.com My business website 👉 https://superlativesites.com GitHub 👉 https://github.com/ColeBlender X 👉 https://twitter.com/ColeBlender IG 👉 https://instagram.com/yazzibelani LinkedIn 👉 https://linkedin.com/in/cole-blender GitHub Repo 👉 https://github.com/ColeBlender/vercel-cron-jobs-tutorial Fullstack App 👉 https://www.youtube.com/watch?v=8t0nPuNiNpw&list=PLUyHhQn1KLAXj4cjMDfnPuAC9zNydzONo&index=11&t=157s
2024. 6. 10.
Dr. Bradley Love is building a tool that can predict the future. Dr. Bradley Love is transforming neuroscience research with AI. He's the creator of BrainGPT, a large language model that can predict the results of neuroscience studies—before they’re conducted. And it performs better than human experts. We spent 90 minutes exploring how AI is reshaping scientific research and our understanding of the brain. Bradley argues that as scientific knowledge grows exponentially, we need new tools to make sense of it all. BrainGPT isn't just summarizing existing research—it's predicting future discoveries. We get into: • How BrainGPT outperforms neuroscience professors • Why clean scientific explanations may be a thing of the past • The challenges of interpreting complex biological systems • How AI could change the way we approach scientific research • The limitations of our intuitive understanding of the brain This is a must-watch for anyone interested in the future of science, AI, and how we understand the human mind. 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 00:01:00 - Introduction 00:01:58 - The motivations behind building a LLM that can predict the future 00:11:14 - How studying the brain can solve the AI revolution’s energy problem 00:13:32 - Dr. Love and his team have developed a new way to prompt AI 00:18:27 - Dan’s take on how AI is changing science 00:22:54 - Why clean scientific explanations are a thing of the past 00:29:49 - How our understanding of explanations will evolve 00:37:31 - Why Dr. Love thinks the way we do scientific research is flawed 00:40:42 - Why humans are drawn to simple explanations 00:45:03 - How Dr. Love would rebuild the field of science Links to resources mentioned in the episode: Dr. Bradley Love: https://bradlove.org/; https://twitter.com/ProfData BrainGPT: https://braingpt.org/ Thomas Nagel’s book on the philosophy of science that Dr. Love recommends: The View From Nowhere https://global.oup.com/academic/product/the-view-from-nowhere-9780195056440 The essay that Thomas Nagel is famous for: What is it like to be a bat? https://en.wikipedia.org/wiki/What_Is_It_Like_to_Be_a_Bat%3F
2024. 7. 10.
🔗 All my startups — https://www.marclou.com ⚡️ Ship your startup in days, not weeks — https://shipfa.st/ 💡 Newsletter for solopreneurs (14K readers) — https://marclou.beehiiv.com/ 📸 Instagram — https://www.instagram.com/marclouvion/ 💼 LinkedIn — https://www.linkedin.com/in/marclouvion/ 🐦 Twitter — https://twitter.com/marc_louvion
2024. 4. 18.
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 cover some of the really unfortunate limitations of OpenAI's new super powerful o1 model and how I've built a custom solution to fix those limitations with their API! I show you EXACTLY how to build a custom implementation of function calling so you can use o1 to create AI Agents. Without this, o1 doesn't actually support function calling so you basically can't use it to develop any real AI application at this point. Theoretically, in the future when o1 is out of beta preview it will support all the usual API features like system messages, function calling, streaming, etc., but for now you need something like what I've shown in this video so I hope you find it super valuable! One thing to note is that I believe you need to be on a certain OpenAI API "tier" (based on API usage) to use the o1 models with the API right now. That should be going away really soon though! Just another limitation of o1 right now... But the model is incredible so don't get me wrong there! 00:00 - 02:00 - Limitations of OpenAI's o1 02:01 - 03:11 - Overview of o1 Agent Code 03:12 - 18:04 - Coding the o1 AI Agent with Tool Calling 18:05 - 23:49 - o1 AI Agent Demo 23:50 - 24:46 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All code for this custom function calling o1 AI Agent can be found here: https://github.com/coleam00/ai-agents-masterclass/tree/main/o1-ai-agent OpenAI article on the new o1 models I showed in the video that also covers the limitations: https://platform.openai.com/docs/guides/reasoning ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 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. 19.