Atul Y.’s Post

🌟 𝗔𝗪𝗦 𝗿𝗲-𝗜𝗻𝘃𝗲𝗻𝘁 2023 𝗥𝗲𝗰𝗮𝗽 🌟 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 2023 showcased the transformative power of generative AI, revolutionizing industries by creating images, videos, stories, and code. Key advancements in data, scalable compute, and machine learning technologies, such as transformers and diffusion models, are driving this change. 𝗠𝗮𝗷𝗼𝗿 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀 Amazon Bedrock, a managed service offering high-performing foundational models, simplifies building and scaling AI applications. Amazon CodeWhisperer, an AI coding companion, enhances developer productivity with code recommendations. 𝗢𝗽𝗲𝗻 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗔𝗪𝗦 Accessibility: How will AWS make generative AI tools more accessible to non-experts? 🤔 Data Security: What measures are in place to enhance data governance and security? 🔐 Cost Optimization: How can AWS balance model performance with cost-effectiveness? 💸 Scalability: What improvements are planned for scaling AI applications? 📈 Customization: How is AWS addressing the need for more customizable AI models? 🛠️ Ethical AI: What frameworks ensure the ethical use of AI? 🌐 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗽𝗹𝗲𝗮𝘀𝗲 𝘄𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝘃𝗶𝗱𝗲𝗼 𝗜 𝗰𝗿𝗲𝗮𝘁𝗲𝗱. https://lnkd.in/gimiXbZy

🔥 Did you know? AWS is redefining infrastructure to power the future of generative AI! 🧠💡 Imagine this: From groundbreaking networking innovations to overhauled data center designs, AWS is relentlessly optimizing to support generative AI at an unimaginable scale. But here's the kicker: Most businesses aren't even aware of the incredible potential this brings. 🚀 🌟 Why should you care? - **Faster Data Processing:** Boost efficiency with speeds you never thought possible. - **Scalability:** Grow without limits, thanks to robust infrastructure. - **Innovative Solutions:** Be at the forefront of technological evolution. And the best part? These advancements are happening NOW. 💥 🔍 Dive into how AWS is making waves in the tech world and discover what it means for you and your business. Check out the full story here: [How AWS engineers infrastructure to power generative AI - About Amazon](https://lnkd.in/gca2vzGi) 🌐 What are YOUR thoughts on the future of AI? Drop a comment below!

From networking innovations to changes in data center design, AWS continues to optimize its infrastructure to support generative AI at scale. As the world changes rapidly, AWS continues to adapt and improve upon our strong infrastructure foundation to deliver new innovations that support generative AI at scale. Find out more about the four areas we're focusing on to achieve this. #Amazon #AWS #AI

From networking innovations to changes in data center design, AWS continues to optimize its infrastructure to support generative AI at scale. As the world changes rapidly, AWS continues to adapt and improve upon our strong infrastructure foundation to deliver new innovations that support generative AI at scale. Find out more about the four areas we're focusing on to achieve this. #Amazon #AWS #AI

From networking innovations to changes in data center design, AWS continues to optimize its infrastructure to support generative AI at scale. As the world changes rapidly, AWS continues to adapt and improve upon our strong infrastructure foundation to deliver new innovations that support generative AI at scale. Find out more about the four areas we're focusing on to achieve this. #Amazon #AWS #AI

From networking innovations to changes in data center design, AWS continues to optimize its infrastructure to support generative AI at scale. As the world changes rapidly, AWS continues to adapt and improve upon our strong infrastructure foundation to deliver new innovations that support generative AI at scale. Find out more about the four areas we're focusing on to achieve this. #Amazon #AWS #AI

From networking innovations to changes in data center design, AWS continues to optimize its infrastructure to support generative AI at scale. As the world changes rapidly, AWS continues to adapt and improve upon our strong infrastructure foundation to deliver new innovations that support generative AI at scale. Find out more about the four areas we're focusing on to achieve this. #Amazon #AWS #AI

From networking innovations to changes in data center design, AWS continues to optimize its infrastructure to support generative AI at scale. As the world changes rapidly, AWS continues to adapt and improve upon our strong infrastructure foundation to deliver new innovations that support generative AI at scale. Find out more about the four areas we're focusing on to achieve this. #Amazon #AWS #AI

Companies of all sizes and across every industry are looking to build or choose AI services for their business needs (call center operations, personalized recommendations, fraud detection, content analysis and moderation, and so much more.) Regardless of where you are in this journey, now would be a great time to assess and apply AI/ML architectural best practices across your enterprise. #machinelearning Have you looked at AWS's Well Architected Framework Review (#WAFR) - AI/ML best practices? https://lnkd.in/evBA3BZV AWS (#AWS) AI/ML best practices are organized across 6 best practices pillars, They help you understand the benefits and risks of decisions while building AI/ML workloads. Quick examples of best practices and recommendations are: - How do you define return on your investment and total cost of ownership for ML Workloads? - Do you have established ML roles and responsibilities in your organizations?  - How do you define the priorities of your AI/ML workloads? - How secure are your ML environments? Do you use pre-trained models or managed AI services?  - How do you test and deploy ML workloads? - What are your Key Performance Indicators (KPIs), when it comes to ML workloads and ML models ?  - Does using pretrained models and managed AWS AI services help you reduce cost and your carbon footprint? AWS's AI/ML best practices are available in public documentation, and can also be leveraged through the AWS Well Architected service in your AWS consoles. (And additionally, you now have Amazon Q to dive deep into any of these best practices! #amazonq ) Reach out to your AWS contacts for any additional questions or help with incorporating these best practices! 

I completed the "Amazon Q Business Getting Started" certification from AWS Skillbuilder. This certification focused on Amazon Q Business, a generative artificial intelligence (generative AI) designed to answer questions, generate content, construct summaries, and complete tasks based on enterprise data. Throughout the certification, I gained insights into various aspects of Amazon Q Business, such as its functionalities, problem-solving abilities, benefits, cost structure, technical ideas, architecture, use cases, and deployment. Additionally, I learned how to set up an Amazon Q Business application in the AWS Management Console and deploy a chat application to interact with Amazon Q Business. #AWS #Skillbuilder #AWSTraining #AWSCertification