Artificial Intelligence & ChatGPT Prompts

Here is the list of latest trending tech stacks in 2024 👇👇 1. Frontend Development: - React.js: Known for its component-based architecture and strong community support. - Vue.js: Valued for its simplicity and flexibility in building user interfaces. - Angular: Still widely used, especially in enterprise applications. 2. Backend Development: - Node.js: Popular for building scalable and fast network applications using JavaScript. - Django: Preferred for its rapid development capabilities and robust security features. - Spring Boot: Widely used in Java-based applications for its ease of use and integration capabilities. 3. Mobile Development: - Flutter: Known for building natively compiled applications for mobile, web, and desktop from a single codebase. - React Native: Continues to be popular for building cross-platform applications with native capabilities. 4. Cloud Computing and DevOps: - AWS (Amazon Web Services), Azure, Google Cloud: Leading cloud service providers offering extensive services for computing, storage, and networking. - Docker and Kubernetes: Essential for containerization and orchestration of applications in a cloud-native environment. - Terraform: Infrastructure as code tool for managing and provisioning cloud infrastructure. 5. Data Science and Machine Learning: - Python: Dominant language for data science and machine learning, with libraries like NumPy, Pandas, and Scikit-learn. - TensorFlow and PyTorch: Leading frameworks for building and training machine learning models. - Apache Spark: Used for big data processing and analytics. 6. Cybersecurity: - SIEM Tools (Security Information and Event Management): Such as Splunk and ELK Stack, crucial for monitoring and managing security incidents. - Zero Trust Architecture: A security model that eliminates the idea of trust based on network location. 7. Blockchain and Cryptocurrency: - Ethereum: A blockchain platform supporting smart contracts and decentralized applications. - Hyperledger Fabric: Framework for developing permissioned, blockchain-based applications. 8. Artificial Intelligence (AI) and Natural Language Processing (NLP): - GPT (Generative Pre-trained Transformer) Models: Such as GPT-4, used for various natural language understanding tasks. - Computer Vision: Frameworks like OpenCV for image and video processing tasks. 9. Edge Computing and IoT (Internet of Things): - Edge Computing: Technologies that bring computation and data storage closer to the location where it is needed. - IoT Platforms: Such as AWS IoT, Azure IoT Hub, offering capabilities for managing and securing IoT devices and data. Best Resources to help you with the journey 👇👇 Javascript Roadmap https://t.me/javascript_courses/309 Best Programming Resources: https://topmate.io/coding/886839 Web Development Resources https://t.me/webdevcoursefree Latest Jobs & Internships https://t.me/getjobss Cryptocurrency Basics https://t.me/Bitcoin_Crypto_Web/236 Python Resources https://t.me/pythonanalyst Data Science Resources https://t.me/datasciencefree Best DSA Resources https://topmate.io/coding/886874 Udemy Free Courses with Certificate https://t.me/udemy_free_courses_with_certi Join @free4unow_backup for more free resources. ENJOY LEARNING 👍👍

🚀 BITCOIN OVER 75.000$ ! In the last 3 days my subscribers have made over $20.000$ with my help ! We are now showing how to make money trading with Lisa for free in our channel! Our subscriber on average earns 3.000$ on full passive just by trading with Lisa. We have now opened free access to our VIP channel, only 100 people will get in for free, time is limited! JOIN THE CHANNEL AND TRADE WITH LISA https://t.me/+mo6goWxONzI4MThh https://t.me/+mo6goWxONzI4MThh https://t.me/+mo6goWxONzI4MThh

Don't overwhelm to learn Git,🙌 Git is only this much👇😇 1.Core: • git init • git clone • git add • git commit • git status • git diff • git checkout • git reset • git log • git show • git tag • git push • git pull 2.Branching: • git branch • git checkout -b • git merge • git rebase • git branch --set-upstream-to • git branch --unset-upstream • git cherry-pick 3.Merging: • git merge • git rebase 4.Stashing: • git stash • git stash pop • git stash list • git stash apply • git stash drop 5.Remotes: • git remote • git remote add • git remote remove • git fetch • git pull • git push • git clone --mirror 6.Configuration: • git config • git global config • git reset config 7. Plumbing: • git cat-file • git checkout-index • git commit-tree • git diff-tree • git for-each-ref • git hash-object • git ls-files • git ls-remote • git merge-tree • git read-tree • git rev-parse • git show-branch • git show-ref • git symbolic-ref • git tag --list • git update-ref 8.Porcelain: • git blame • git bisect • git checkout • git commit • git diff • git fetch • git grep • git log • git merge • git push • git rebase • git reset • git show • git tag 9.Alias: • git config --global alias.<alias> <command> 10.Hook: • git config --local core.hooksPath <path> ✅ Free Courses with Certificate: https://t.me/free4unow_backup

𝐅𝐑𝐄𝐄 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐎𝐧 𝐋𝐚𝐭𝐞𝐬𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬😍 - AI/ML - Data Analytics - Business Analytics - Data Science - Fullstack - UI/UX - Devops 🚀 3 Steps to Build Future-Proof Your IT Career! 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:- https://bit.ly/3YJPgJv (Limited Slots ..HurryUp🏃‍♂️ )  𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:-  November 13, 2024, at 7 PM

WhatsApp is no longer a platform just for chat. It's an educational goldmine. If you do, you’re sleeping on a goldmine of knowledge and community. WhatsApp channels are a great way to practice data science, make your own community, and find accountability partners. I have curated the list of best WhatsApp channels to learn coding & data science for FREE Free Courses with Certificate 👇👇 https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g Jobs & Internship Opportunities 👇👇 https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226 Web Development 👇👇 https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z Python Free Books & Projects 👇👇 https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L Java Free Resources 👇👇 https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s Coding Interviews 👇👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X SQL For Data Analysis 👇👇 https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v Power BI Resources 👇👇 https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c Programming Free Resources 👇👇 https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17 Data Science Projects 👇👇 https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y Learn Data Science & Machine Learning 👇👇 https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D ENJOY LEARNING 👍👍

Why open-source AI models are good for the world Open innovation lies at the heart of the artificial-intelligence (ai) boom. The neural network “transformer”—the t in GPT—that underpins OpenAI’s was first published as research by engineers at Google. TensorFlow and PyTorch, used to build those neural networks, were created by Google and Meta, respectively, and shared with the world. Today, some argue that AI is too important and sensitive to be available to everyone, everywhere. Models that are “open-source”—ie, that make underlying code available to all, to remix and reuse as they please—are often seen as dangerous.

Top 10 Web Development Technologies 🌐 1. 🟨 JavaScript — 98% usage 2. 🔵 TypeScript — 78% adoption 3. 🟢 Node.js — 75% backend choice 4. ⚛️ React — 70% frontend framework 5. 🅰️ Angular — 55% enterprise use 6. 💚 Vue.js — 49% growing popularity 7. 🐍 Python — 48% for full-stack 8. 💎 Ruby on Rails — 45% rapid development 9. 🐘 PHP — 43% widespread use 10. ☕ Java — 40% enterprise solutions

𝐇𝐞𝐥𝐥𝐨 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞👋, I’m excited to share an incredible opportunity with you!  Join our 𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 𝐨𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 😍 and explore the pathway to becoming a successful Data Scientist. 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐎𝐟𝐟𝐞𝐫 :- Attendees will receive free bonuses valued at INR 5,000!🤗 Eligibility :- Students,Freshers & Working Professionals 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰 👇:- https://bit.ly/4feAJwh Note: Limited slots are available—register soon! 𝐃𝐚𝐭𝐞 & 𝐓𝐢𝐦𝐞:- November 9, 2024, at 7 PM Don’t miss out on this valuable learning experience!🏃‍♂️

Hello Guys😍, As you know AI&ML is highly demanding now-a-days. So we have brought you a great opportunity  𝐅𝐑𝐄𝐄 𝐎𝐧𝐥𝐢𝐧𝐞 Masterclass 𝐎𝐧 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠  Know The Roadmap To Become an AI and ML Engineer  Eligibility :- Students , Freshers & Working Professionals  𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐅𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-  https://bit.ly/3UtUojt ( Limited Slots🏃‍♂️ ) Date & Time:- November 7, 2024,  7 PM Don't Miss This Opportunity 🤗

Software Engineers vs AI Engineers: 👊 Software engineers are often shocked when they learn of AI engineers' salaries. There are two reasons for this surprise. 1. The total compensation for AI engineers is jaw-dropping. You can check it out at AIPaygrad.es, which has manually verified data for AI engineers. The median overall compensation for a “Novice” is $328,350/year. 2. AI engineers are no smarter than software engineers. You figure this out only after a friend or acquaintance upskills and finds a lucrative AI job. The biggest difference between Software and AI engineers is the demand for such roles. One role is declining, and the other is reaching stratospheric heights. Here is an example. Just last week, we saw an implosion of OpenAI after Sam Altman was unceremoniously removed from his CEO position. About 95% of their AI Engineers threatened to quit in protest. Rumor had it that these 700 engineers had an open job offer from Microsoft. 🚀 Contrast this with the events a few months back. Microsoft laid off 10,000 Software Engineers while setting aside $10B to invest in OpenAI. They cut these jobs despite making stunning profits in 2023. In conclusion, these events underline a significant shift in the tech industry. For software engineers, it's a call to adapt and possibly upskill in AI, while companies need to balance AI investments with nurturing their current talent. The future of tech hinges on flexibility and continuous learning for everyone involved."

12 Essential Math Theories for AI Understanding AI requires a foundation in core mathematical concepts. Here are twelve key theories that deepen your AI knowledge: Curse of Dimensionality: Challenges with high-dimensional data. Law of Large Numbers: Reliability improves with larger datasets. Central Limit Theorem: Sample means approach a normal distribution. Bayes' Theorem: Updates probabilities with new data. Overfitting & Underfitting: Finding balance in model complexity. Gradient Descent: Optimizes model performance. Information Theory: Efficient data compression. Markov Decision Processes: Models for decision-making. Game Theory: Insights on agent interactions. Statistical Learning Theory: Basis for prediction models. Hebbian Theory: Neural networks learning principles. Convolution: Image processing in AI. Familiarity with these theories will greatly enhance understanding of AI development and its underlying principles. Each concept builds a foundation for advanced topics and applications.

Programming is no longer about how well you google search. Programming is now about how well you can write prompts for an AI system to generate code for you, and you validate it.

12 Fundamental Math Theories Needed to Understand AI 1. Curse of Dimensionality This phenomenon occurs when analyzing data in high-dimensional spaces. As dimensions increase, the volume of the space grows exponentially, making it challenging for algorithms to identify meaningful patterns due to the sparse nature of the data. 2. Law of Large Numbers A cornerstone of statistics, this theorem states that as a sample size grows, its mean will converge to the expected value. This principle assures that larger datasets yield more reliable estimates, making it vital for statistical learning methods. 3. Central Limit Theorem This theorem posits that the distribution of sample means will approach a normal distribution as the sample size increases, regardless of the original distribution. Understanding this concept is crucial for making inferences in machine learning. 4. Bayes’ Theorem A fundamental concept in probability theory, Bayes’ Theorem explains how to update the probability of your belief based on new evidence. It is the backbone of Bayesian inference methods used in AI. 5. Overfitting and Underfitting Overfitting occurs when a model learns the noise in training data, while underfitting happens when a model is too simplistic to capture the underlying patterns. Striking the right balance is essential for effective modeling and performance. 6. Gradient Descent This optimization algorithm is used to minimize the loss function in machine learning models. A solid understanding of gradient descent is key to fine-tuning neural networks and AI models. 7. Information Theory Concepts like entropy and mutual information are vital for understanding data compression and feature selection in machine learning, helping to improve model efficiency. 8. Markov Decision Processes (MDP) MDPs are used in reinforcement learning to model decision-making scenarios where outcomes are partly random and partly under the control of a decision-maker. This framework is crucial for developing effective AI agents. 9. Game Theory Old school AI is based off game theory. This theory provides insights into multi-agent systems and strategic interactions among agents, particularly relevant in reinforcement learning and competitive environments. 10. Statistical Learning Theory This theory is the foundation of regression, regularization and classification. It addresses the relationship between data and learning algorithms, focusing on the theoretical aspects that govern how models learn from data and make predictions. 11. Hebbian Theory This theory is the basis of neural networks, “Neurons that fire together, wire together”. Its a biology theory on how learning is done on a cellular level, and as you would have it — Neural Networks are based off this theory. 12. Convolution (Kernel) Not really a theory and you don’t need to fully understand it, but this is the mathematical process on how masks work in image processing. Convolution matrix is used to combine two matrixes and describes the overlap.

Get Free Resources to learn stock marketing 👇👇 https://chat.whatsapp.com/Jxasfs1mMJUFZ5fBEvfs9o

Hey guys 👋 Since many of you requested for data analytics recorded video lectures, here you go! 👇👇 https://topmate.io/analyst/1068350 It contains comprehensive recorded video lectures on Data Analytics, covering key tools and languages like SQL, Python, Excel, and Power BI along with hands-on projects to ensure you gain practical experience alongside theoretical knowledge. Please use the above link to avail them!👆 NOTE: -Most data aspirants hoard resources without actually opening them even once! The reason for keeping a small price for these resources is to ensure that you value the content available inside this and encourage you to make the best out of it. Hope this helps in your data analytics journey... All the best!👍✌️

Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

SOME USEFUL  WEBSITES  ONLINE EDUCATIONAL SUPPORT www.khanacademy.org www.academicearths.org www.coursera.com www.edx.org www.open2study.com www.academicjournals.org codeacademy.org youtube.com/education BOOK SITES www.bookboon.com http://ebookee.org http://sharebookfree.com http://m.freebooks.com www.obooko.com www.manybooks.net www.epubbud.com www.bookyards.com www.getfreeebooks.com http://freecomputerbooks.com www.essays.se www.sparknotes.com www.pink.monkey.com ANSWERS TO QUESTIONS www.ehow.com www.whatis.com www.howstuffwork.com www.webopedia.com www.plagtracker.com www.answers.com SEARCH SITES ■ About.com (www.about.com) ■ AllTheWeb (www.alltheweb.com) ■ AltaVista (www.altavista.com) ■ Ask Jeeves! (www.askjeeves.com) ■ Excite (www.excite.com) ■ HotBot (www.hotbot.com) ■ LookSmart (www.looksmart.com) ■ Lycos (www.lycos.com) ■ Open Directory (www.dmoz.org) ■ Google (www.google.com) ■ Mamma (www.mamma.com) ■ Webcrawler (www.webcrawler.com) ■ Aol (www.aol.com) ■ Dogpile (www.dogpile.com) ■ 10pht (www.10pht.com) SEARCHING FOR PEOPLE ■ AnyWho (www.anywho.com) ■ InfoSpace (www.infospace.com) ■ Switchboard (www.switchboard.com) ■ WhitePages.com (www.whitepages.com) ■ WhoWhere (www.whowhere.lycos.com) SEARCHING FOR THE LATEST NEWS ■ ABC News (www.abcnews.com) ■ CBS News (www.cbsnews.com) ■ CNN (www.cnn.com) ■ Fox News (www.foxnews.com) ■ MSNBC (www.msnbc.com) ■ New York Times (www.nytimes.com) ■ USA Today (www.usatoday.com) SEARCHING FOR SPORTS HEADLINES AND SCORES ■ CBS SportsLine (www.sportsline.com) ■ CNN/Sports Illustrated (sportsillustrated.cnn.com) ■ ESPN.com (espn.go.com) ■ FOXSports (foxsports.lycos.com) ■ NBC Sports (www.nbcsports.com) ■ The Sporting News (www.sportingnews.com) SEARCHING FOR MEDICAL INFORMATION ■ healthAtoZ.com (www.healthatoz.com) ■ kidsDoctor (www.kidsdoctor.com) ■ MedExplorer (www.medexplorer.com) ■ MedicineNet (www.medicinenet.com) ■ National Library of Medicine (www.nlm.nih.gov) ■ Planet Wellness (www.planetwellness.com) ■ WebMD Health (my.webmd.com)

😂😂