Artificial Intelligence

Post about Mojo Lang. https://www.instagram.com/p/CsV0lN3r7F4/?igshid=NTc4MTIwNjQ2YQ==

Learn Python in 11 Days You can learn python from basics to advance with the help of this eBook. This eBook also contains code examples and at the end of the book i gave 5 very interesting hands on python project with code. This book contains day wise Tasks that will make your your python learning path very easy. This book is written by me(Admin of aiindia). link of the eBook: https://imojo.in/7tOZ1h

You can learn python from basics to advance with the help of this eBook. This eBook also contains code examples and at the end of the book i gave 5 very interesting hands on python project with code. This book contains day wise Tasks that will make your your python learning path very easy. This book is written by me(Admin of aiindia). link of the eBook: https://imojo.in/7tOZ1h

Bard AI by Google is finally out 🚀 Try it here: https://bard.google.com Bard AI python API : https://github.com/dsdanielpark/BARD_API

Will AI Replace Humans? https://www.instagram.com/p/Cr8loZKvDsl/?igshid=NTc4MTIwNjQ2YQ==

❤️ Follow us (@a.i.india) for more of such amazing AI, ML, Data Science and Python programming content! . 🔔 TURN ON post notifications to never miss any updates. . . . #artificialIntelligence #python #computerscience #machinelearning #datascience #datascientist #python3 #pythonprogramming #Deeplearning #deeplearning https://www.instagram.com/p/Cr8loZKvDsl/?igshid=NjZiM2M3MzIxNA==

Meta’s DINOv2: The Game-Changing Computer Vision AI Model that Doesn’t Need Fine-Tuning Article Link: https://towardsai.net/p/machine-learning/metas-dinov2-the-game-changing-computer-vision-ai-model-that-doesnt-need-fine-tuning Meta’s DINOv2 : https://dinov2.metademolab.com/

ChatGPT can write code faster and seemingly better than many programmers. So will it replace software engineers anytime soon? The answer is No. Here are 4 reasons why: 👇 1) Currently, when doing programming tasks, ChatGPT outputs code. And is everybody able to grok, manipulate, and use code? No—only software engineers are. ChatGPT's current coding-related outputs are useless to the general population and need to be handled by SWEs. 2) ChatGPT has been proven to sometimes give incorrect answers, including buggy code. No sound business will risk getting rid of their SWEs in favor of an AI that can provably write buggy software. 3) ChatGPT currently struggles to successfully debug buggy code, even in simple, self-contained code blocks. We can imagine that this will remain especially true in large, complex codebases. You can't get rid of SWEs if you need them to debug your AI's code. 4) To build complex applications with ChatGPT, you need to give it complex prompts that inherently require some technical knowledge as well as "prompt engineering" prowess. Right now, SWEs are the best-equipped people to write these prompts. Instead of replacing software engineers, ChatGPT will serve as an amazing quality-of-life-improvement tool for them, helping them perform certain programming tasks much faster. If you're a SWE, you don't need to worry about ChatGPT—for now. (Credits: Unknown)

ChatGPT can write code faster and seemingly better than many programmers. So will it replace software engineers anytime soon? The answer is No. Here are 4 reasons why: 👇 1) Currently, when doing programming tasks, ChatGPT outputs code. And is everybody able to grok, manipulate, and use code? No—only software engineers are. ChatGPT's current coding-related outputs are useless to the general population and need to be handled by SWEs. 2) ChatGPT has been proven to sometimes give incorrect answers, including buggy code. No sound business will risk getting rid of their SWEs in favor of an AI that can provably write buggy software. 3) ChatGPT currently struggles to successfully debug buggy code, even in simple, self-contained code blocks. We can imagine that this will remain especially true in large, complex codebases. You can't get rid of SWEs if you need them to debug your AI's code. 4) To build complex applications with ChatGPT, you need to give it complex prompts that inherently require some technical knowledge as well as "prompt engineering" prowess. Right now, SWEs are the best-equipped people to write these prompts. Instead of replacing software engineers, ChatGPT will serve as an amazing quality-of-life-improvement tool for them, helping them perform certain programming tasks much faster. If you're a SWE, you don't need to worry about ChatGPT—for now. (Credits: Unknown)

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Some of the Articles to read on the use cases of AI in Healthcare in 2023: https://www.forbes.com/sites/joemckendrick/2023/02/22/healthcare-may-be-the-ultimate-proving-ground-for-artificial-intelligence/ https://healthtechmagazine.net/article/2022/12/ai-healthcare-2023-ml-nlp-more-perfcon https://www.weforum.org/agenda/2023/04/world-health-day-how-ai-and-digital-health-healthcare/ https://www.chiefhealthcareexecutive.com/view/ai-in-healthcare-requires-approach-of-exploration-himss-conference https://www.startus-insights.com/innovators-guide/ai-trends-in-healthcare/ https://www.rtinsights.com/ai-in-healthcare-emerging-trends-to-follow-in-2023/

Bill Gates just published a 7-page letter about AI and his predictions for its future Here is the summary: ✔️AI impact in the next 5-10 years: -Change how people work, learn, travel, access healthcare, and communicate, -Influence entire industries ✔️AI's potential for reducing global inequities: -Health: save lives of children in poor countries -Education: improve math skills, particularly for disadvantaged students -Climate change: help address issues faced by the world's poorest ✔️AI integration in the workplace: -Enhance productivity and efficiency -Support the creation of personal agents and company-wide agents ✔️AI applications in healthcare: -Assist healthcare workers with tasks and paperwork -Improve access to medical advice and treatment in poor countries -Accelerate medical breakthroughs by analyzing complex biological data -Incentivize companies to share AI-generated insights for agriculture in poor countries -AI can improve seeds, advise farmers, and develop drugs for livestock -AI-driven software will revolutionize education in the next 5-10 years -AI can assist teachers and administrators in various ways -Ensure AI tools are available for low-income schools and address the digital divide -Address risks and problems with AI, including context understanding and -abstract reasoning -Governments and the private sector should collaborate to limit AI risks -Super intelligent AIs raise questions about goals and potential conflict with humanity -AI advancements will lead to new hardware, software, and applications -Balance AI's downsides with its potential to improve lives Governments and philanthropy should ensure AI reduces inequity AI limitations today will be overcome as the technology advances Read more here: https://www.gatesnotes.com/The-Age-of-AI-Has-Begun

Have you spent a lot of time taking online courses󰱹 but still find it hard to solve problems🤯 in the real world? Want to create a rock-solid portfolio🏋 of Data Science & Machine Learning projects? We know that completing courses is a great starting point, but it's only half the battle🏆. That's why we've created something that bridges the gap between theoretical knowledge 📚and real-life projects󰞴. 🌟 Introducing TensorHulk's Machine Learning Megapack 🌟 A power-packed megapack including, 🚀 200+ Expertly Crafted Real-world projects 🎓 Interview Preparation Kit 📝 Hand-on-tutorial notebooks Benefits: ✴️ Up-to-date(2023 ready) and error-free projects ✴️ Dedicated email support for doubt-solving ✴️ Lifetime access to all the projects ✴️ We update our projects every three months For a limited time, we’re offering a special discount of 50% on our regular price. Offer valid for a limited time only. Build your Data Science Portfolio💪 now. Visit : https://tensorhulk.in/machine-learning-megapack/?

Are you preparing for your dream💭 Data Science Job❓ Want to create a rock-solid Data Science portfolio📚? Introducing Machine Learning Megapack🌟 which includes, 🚀 200+ Expertly Crafted Real-world projects 🎓 Interview Preparation Kit 📝 Hand-on-tutorial notebooks Domains: Data Science, Machine Learning, Data Analysis, Deep Learning, Computer Vision, and NLP. The best part, each project comes with : 1 - Clear problem description 2 - A step-by-step framework to solve the problem 3 - Complete source code in Python with zero errors and no deprecated libraries. 4 - Beginner-friendly code explanations that explain every line of code 5 - Future work suggestions with implementation guides 6 - Concept explanation for algorithms used with proper example 7 - Exercise questions to test your understanding. For a limited time⏳, we’re offering a special discount of 50% on our regular price. Offer valid for a limited time only. Build your Data Science Portfolio💪 now. Link: https://tensorhulk.in/machine-learning-megapack/