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Sam Altman'dan yeni, önemli açıklamalar! Birkaç gün önce Stanford Üniversitesi'nde bir söyleşiye katılan Altman, Yapay Zeka (YZ) hakkında şunları söyledi: 1- Halen kullandığımız ChatGPT-4, en hafif ifadeyle "biraz utanç verici". Daha doğrusu GPT-4, yakın gelecekte kullanmak zorunda kalacağınız diğer pek çok model arasındaki belki de en aptal olanı. Ancak piyasaya erken girmek, ilk olmak, sürekli iyileştirmeler yaparak sık sık yeni versiyonlar çıkarmak avantaj sağlar (yatırım çeker). Kısacası, bundan sonraki her sürüm bir öncekinden daha iyi ve daha akıllı oldukça şu anda kullandıklarımız en kötü modellerdi diye anılacak... 2- YZ geliştirirken 500 ya da 50 milyar dolar batırmamız umurumda değil... Esas hedefimiz AGI (Artificial General Intelligence - Genel Yapay Zeka). İnsanlığın yararı, bizim kayıplarımızdan çok daha önemli. 3- Kısa vadede işler düşündüğümüzden daha az, daha yavaş; uzun vadede ise işler sandığımızdan daha fazla ve daha hızlı değişecek. NOT: AMARA Yasasına gönderme yapıyor (Göz atın; https://bityl.co/Pgxn) 4- GPT-5 genel anlamda GPT-4'ten çok daha akıllı olacak. Henüz bunun ne kadar önemli olduğu algılanamıyor ama anlaşılacak. 5- Bilgisayara küresel erişim (internet) bir insanlık hakkıdır ve bunu adil olarak nasıl dağıtacağımızı bulmak hepimizin görevidir. 6- Girişimcilikte bir ön hazırlık ya da öğrenme dönemi yok. Girişimcilik bir girişim başlatarak ve yönetilerek öğrenilebiliyor. Çok yakında, AI sayesinde tek kişilik milyar dolarlık bir şirket ve milyonlarca dolarlık yeni startuplar ortaya çıkacak (Ki çıktı bile. Bkz Perplexity post'um) #samaltman #ai #agi #yapayzeka #stanford #unicorn @futuristufuk #future #futurist #gelecek #gelecekçi #ufuktarhan #yarınınişiniyarınabırakma #Tinsanol #gelecekgüzelgelecek

You're a PowerPoint PRO if you know this trick 💯 ✅I have power point presentation materials, Excel materials,QA Materials, Development material I you want Connect and Dm 1.Follow me 2.Repost It is useful for others ✅ FOLLOW Harish for more stuff #courses #exceltips #powerpointtutor

I wanted to learn data science so I watched 100 videos on youtube 96% of them were a complete waste of time But these 10 will teach you more skills than a 4 year degree. 📜 𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗚𝗿𝗲𝗮𝘁 𝗩𝗶𝗱𝗲𝗼𝘀 𝗳𝗼𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 ↳ Dive into essential learning resources: 🎓 Introduction to Machine Learning - Stanford University. https://lnkd.in/gtfZSfjc [2] 𝗟𝗼𝗴-𝗟𝗼𝘀𝘀 𝗡𝗲𝘁𝗼𝘄𝗼𝗿𝗸𝗶𝗻𝗴: 𝗠𝗮𝘀𝘁𝗲𝗿 𝘆𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝘄𝗶𝘁𝗵 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 ↳ Explore courses and resources: 📕 Neural Networks and Deep Learning by Michael Nielsen https://lnkd.in/g6ZWcsyT [3] 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗠𝘂𝗹𝘁𝗶-𝗖𝗹𝗮𝘀𝘀 𝗟𝗼𝘀𝘀: 𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗙𝘂𝗹𝗹 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 ↳ Explore courses and resources: 🎓 Unsupervised Learning - Stanford University https://lnkd.in/guqTGfx2 [4] 𝗥𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝗟𝗼𝘀𝘀 𝗮𝗻𝗱 𝗠𝗲𝘁𝗿𝗶𝗰 𝗟𝗼𝘀𝘀 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲: 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗠𝗼𝗱𝗲𝗹 ↳ Explore courses and resources: 🎓 Regression Analysis - Khan Academy https://lnkd.in/gEdNJU5b [5] 𝗖𝗹𝘂𝘀𝘁𝗲𝗿 𝗟𝗼𝘀𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗻𝗸 𝗟𝗼𝘀𝘀 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀: 𝗠𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝘆𝗼𝘂𝗿 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗲𝗿𝘀 ↳ Explore courses and resources: 📕 The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman https://lnkd.in/gN-P-xvv [6] 𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 ↳ Explore courses and resources: 🗣️ Analytics Vidhya https://lnkd.in/g5TY33nm [7] 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗼𝗱𝗲𝗹 𝗣𝗿𝗲𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 ↳ Explore courses and resources: 📕 Python for Data Analysis by Wes McKinney https://lnkd.in/gFPjBf3q [8] 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 ↳ Explore courses and resources: 🗣️ StatQuest with Josh Starmer https://lnkd.in/gYPhc9j2 [9] 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ↳ Explore courses and resources: 📕 Big Data: A Revolution That Will Transform How We Live, Work. https://lnkd.in/gcncVPrV [10] 𝗕𝗮𝘆𝗲𝘀𝗶𝗮𝗻 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ↳ Explore courses and resources: 📕 Bayesian Data Analysis by Andrew Gelman, 🗣️ StatQuest with Josh Starmer https://lnkd.in/g8rkPcrX --- Follow Arif Alam

MIT's AI courses are now free! No payment required. 10 courses to help you level-up in 2024: Beginner: 1. Understand the World Through Data What you’ll learn: ➨ Data manipulation ➨ Linear regression ➨ Distributions & standard deviations Access it here: https://lnkd.in/dqdHt7De 2. Introduction To Computer Science & Programming In Python What you’ll learn: ➨ Computational problem solving ➨ Writing programs ➨ Program Efficiency Access it here: https://lnkd.in/dxYNtkGf 3. Artificial Intelligence What you’ll learn: ➨ Developing intelligent systems ➨ Goal trees & neural nets ➨ Genetic algorithms Access it here: https://lnkd.in/d7Y2iz6u 4. Supply Chain Analytics What you’ll learn: ➨ Basic analytical methods ➨ Probability models ➨ Decision analysis Access it here: https://lnkd.in/d_WQvbmh Intermediate: 5. Computational Thinking & Data Science What you’ll learn: ➨ Monte Carlo simulations ➨ Statistical fallacies ➨ Plotting Access it here: https://lnkd.in/dg8VsKmn 6. Computational Thinking for Modeling & Simulation What you’ll learn: ➨ Interpolation methods ➨ Numerical integration ➨ Model Confidence Access it here: https://lnkd.in/dY7mDv5t 7. ML For Healthcare What you’ll learn: ➨ Disease progression modeling ➨ Clinical workflows ➨ Risk stratification Access it here: https://lnkd.in/d9bYfCaA Advanced: 8. The Science of Uncertainty & Data What you’ll learn: ➨ Statistical inference basics ➨ Probabilistic calculation ➨ Classical statistics Access it here: https://lnkd.in/dFrZUkei 9. ML with Python What you’ll learn: ➨ Reinforcement learning ➨ Linear model implementation ➨ Neural networks Access it here: https://lnkd.in/dXmiJr_z 10. Basic Statistics What you’ll learn: ➨ Hypothesis testing ➨ Visualizing high-dimensional data ➨ Developing statistical tools Access it here: https://lnkd.in/dM93DGpE ♻️ Repost to help spread these courses. And follow Eric Partaker for more like this.

𝗔𝗶 𝗕𝗲𝗰𝗼𝗺𝗲𝘀 𝗘𝗮𝘀𝘆: 𝗟𝗲𝗮𝗿𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝘄𝗶𝘁𝗵 𝗚𝗼𝗼𝗴𝗹𝗲 ↳ Discover key AI concepts: 🎓 Google AI Essentials - Introduction to Generative AI Learning Path https://lnkd.in/dGHrDaqa Introduction to Large Language Models - https://lnkd.in/gsJ2RPEb Introduction to Responsible AI - https://lnkd.in/ddQ3FuSj Generative AI Fundamentals - https://lnkd.in/gPpwDXhV Responsible AI: Applying AI Principles with Google Cloud - https://lnkd.in/ghWMJt_v 𝗘𝘅𝗽𝗮𝗻𝗱 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀: 𝗧𝗼𝗼𝗹𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 ↳ Master advanced techniques: 🎓 Introduction to Image Generation - https://lnkd.in/dKBwN_Wi Attention Mechanism - https://lnkd.in/dRcWXbjW Encoder-Decoder Architecture - https://lnkd.in/d3_j_iFw Transformer Models and BERT Model - https://lnkd.in/dwv7NrPr Create Image Captioning Models - https://lnkd.in/d6SUMCCz Introduction to Vertex AI Studio - https://lnkd.in/gDJ36wxF ---- Like/Repost if you find it helpful 🔔 and Follow Arif Alam for more helpful resources Bonus: ⤵️ 200+ Data Science Resources https://lnkd.in/gv9yvfdd Premium Data Science Interview Resources https://lnkd.in/gPrWQ8is 45+ Mathematics Books Every Data Scientist Needs https://lnkd.in/ghBXQfPc 📸 @gina acosta

Google, Harvard, and more are offering FREE AI courses (no payment required) Here are 8 FREE courses to master AI in 2024: 1. Google AI Courses Google offers 5 different courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having a solid understanding of AI as a whole. 🦾 https://lnkd.in/eW5k4DVz 2. Microsoft AI Course Microsoft offers an AI course that covers the basics and then more. Start off with an introduction and continue through learning about neural networks and deep learning. 🦾 https://lnkd.in/eKJ9qmEQ 3. Introduction to AI with Python Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI. Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries. 🦾 https://lnkd.in/g4Sbb3nQ 4. Prompt Engineering for ChatGPT This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts. Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will. 🦾 https://lnkd.in/d-rCb-AM 5. ChatGPT Prompt Engineering for Devs OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng. Start off with best practices and finish with a better understanding of prompting with hands-on practice. 🦾 https://lnkd.in/gtGc5Znp 6. LLMOps Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga. Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM. 🦾 https://lnkd.in/gMXDr7MJ 7. Big Data, Artificial Intelligence, and Ethics In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson. Start by learning about big data opportunities and end knowing the limitations of AI. 🦾 https://lnkd.in/gVEf3Dvm 8. AI Applications and Prompt Engineering edX has an introductory course on prompt engineering that goes beyond the basics. Start by learning the basics and end knowing how to create your own applications. 🦾 https://lnkd.in/g2P9U_Bs Take Coursera courses without the trial: First, go to the course you want to take and click 'Enroll for free', then 'Audit the course'. Note: You'll need to create an account to take courses, but won't need to pay anything. ♻️Please SHARE and REPOST it to HELP others 𝗜𝗳 𝘆𝗼𝘂 𝗹𝗶𝗸𝗲𝗱 𝘁𝗵𝗶𝘀, 𝗷𝗼𝗶𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹𝗦𝘁𝗼𝗿𝗺𝗪𝗲𝗲𝗸𝗹𝘆 - 𝗺𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘁𝗵𝗮𝘁 𝗵𝗲𝗹𝗽𝘀 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗳 𝗿𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗶𝗸𝗲 𝗔𝗽𝗽𝗹𝗲, 𝗚𝗼𝗼𝗴𝗹𝗲 𝗮𝗻𝗱 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗴𝗲𝘁 𝘀𝗺𝗮𝗿𝘁 𝗮𝗯𝗼𝘂𝘁 𝗔𝗜 & 𝘁𝗲𝗰𝗵:https://lnkd.in/dh_sCAzw? Liked this post? 👉Follow me Paul Storm 👍🏻 Thank you! #AI #digitaltransformation #technology #future All credits and rights: Daniel Jacobs