🚀 Day 0: Starting my Artificial Intelligence journey! Goal: Go from ZERO ➝ AI Developer in 6 months 💻🔥 📅 My roadmap: Month 1: AI Basics Math Python Month 2: Machine Learning Month 3: Deep Learning Month 4: NLP Computer Vision #100DaysOfCode #AI

那是NLP，不是LLM

CMU 这门 NLP 课最硬核的地方：第一份作业就让你从零手搓一个 LLaMA。 卡内基梅隆大学公开了 2026 春季《Advanced NLP》课程，教授是 Sean Welleck。整套资源包括完整课程主页、课件、视频和配套代码，内容从 Tokenizer、Transformer、语言模型基础，一路讲到 RAG、多模态、RLHF、MoE、长上下文和 test-time scaling。 这门课最有价值的地方，不仅是教你怎么调用大模型 API，而且把大模型能力背后的工程路径也拆开给你看。 从「Build Your Own LLaMA」这种手搓模型作业，到后面的推理、效率、评测和 Agent，它训练的其实是一种更底层的能力：你能不能理解模型为什么能工作，为什么会变强，为什么有时会失败。 这也很符合现在 AI 的技术拐点。 过去大家更关心参数规模，谁的模型更大；现在越来越多关键进展，开始发生在推理侧、效率侧和系统侧：怎么让模型更会思考，怎么调度专家，怎么检索外部知识，怎么在有限算力下获得更好的输出。 所以这门课不只是 NLP 进阶课，更像一份 2026 年大模型研究者的训练路线图。 AI 时代真正的分水岭，可能不只是会不会使用模型。 更关键的是： 你停在应用层，还是愿意继续往下走到架构层。 Home: cmu-l3.github.io/anlp-spring… Youtubu: youtube.com/playlist?list=PL… Code: github.com/cmu-l3/anlp-sprin…

🎯 TUS Spot Köşesi : Hodgkin 1- Morfoloji: Geniş, bol sitoplazmalı, aynadaki görüntü gibi çift nükleuslu ve belirgin eozinofilik nükleollü ("Baykuş Gözü") dev hücrelerdir. 2- Klasik İmmünofenotip: Klasik Hodgkin Lenfoma tiplerinde RS hücreleri yüzeylerinde daima CD15 ( ) ve CD30 ( ) pozitiftir. ⚠️ En Büyük TUS Tuzağı: Nodüler Lenfosit Predominant (NLP) tipte klasik RS hücresi bulunmaz! Onun yerine L&H (Patlamış mısır / Popcorn) hücreleri vardır. Bu hücreler CD20 ( ) ve BCL-6 ( ) iken, CD15 ve CD30 negatiftir!

子供のころみんなウシガエルが凄くうるさいと言ってたが、あの重低音が鳴き声とは認識してなかったので、 うるさいとは全く思ってながったな。 厚木飛行場のNLPのほうが音でかかったし。

Check out NLP泰斗-罗伯特迪尔茨's video! #TikTok vt.tiktok.com/ZSCnU3s74/

The Capital One team is at #ACL2026NLP sharing proprietary NLP and machine learning research. If you're attending, visit booth D2 to meet our technologists and learn more about our proprietary AI solutions. #NLProc #MachineLearning #NLP #AIResearch bit.ly/4gp97YX

CMU Advanced NLP Spring 2026 What you will learn: - Understand transformer and LLM concepts without treating them as black boxes - Build the foundations before jumping into advanced NLP and language modeling material - Build intuition for generative model families and what they are useful for - Build a practical understanding of this part of NLP and language modeling - Evaluate model behavior instead of relying on demos - Connect retrieval, embeddings, and generation into practical AI systems Link is in the first comment 👇 ♻️ Share this with your network if you found it useful or insightful.

ذكاء اصطناعي تعلم الآلة التعلم العميق معالجة اللغة الطبيعية NLP الرؤية الحاسوبية تحليل البيانات الضخمة هندسة البيانات إدارة أعمال إدارة مستشفيات إدارة مشاريع PMP إدارة الجودة إدارة المخاطر إدارة سلاسل الإمداد إدارة العمليات دراسات جدوى تحليل مالي

4. Bullet Point Parsing & Action Verbs An ATS needs to score impact, not just keywords. Parse sentences to look for the classic STAR pattern.Bonus points if you build an NLP layer that penalizes vague fluff like "Responsible for maintenance" and rewards Optimized runtime by 40%.

ذكاء اصطناعي | تعلم آلة | Deep Learning | NLP | رؤية حاسوبية | Data Engineering | تحليل بيانات ضخمة | Business Intelligence تصميم جرافيك | عروض بوربوينت | بوسترات علمية | إنفوجرافيك | خرائط ذهنية | تصميم شعارات | UI/UX | تصميم واجهات | تجربة مستخدم | نماذج أولية

Due to MoE architectures and batching you get run to run variance in LLMs which is unacceptable for regulatory parsing. The same document can pass one run and fail the next. We need better NLP tools more than ever.

🌍 Privilege to present our Springer-published research at #NICETEASEurope2026! Our work combines #NLP, user behavior analysis, and Responsible AI principles to promote trustworthy digital information ecosystems. #AI #TrustworthyAI #Springer #Research #MachineLearning

我觉得这一次市场反应应该没有那么强烈了 归集资金准备干他娘的BTC 还好我在 @nadoHQ 的保证金是NLP 刚好利息能和做多把BTC的资费抵消 做多BTC就是做多自己的加密事业

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