"None of us are getting out of here alive, so please stop treating yourself like an after thought. Eat the delicious food. Walk in the sunshine. Jump in the ocean. Say the truth that you’re carrying in your heart like hidden treasure. Be silly. Be kind. Be weird. There’s no time for anything else." ~Christopher Walken
Debbie Kostielney, MBA’s Post
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🔥 Unleashing the Power of Meta AI with AWS: 🔥 As a leading cloud provider, AWS is constantly pushing the boundaries of what's possible in AI and machine learning. Recently, our team enabled Meta FAIR to deploy their groundbreaking SAM 2 model on Amazon SageMaker, overcoming session-based challenges that were previously deemed impossible. With AWS AI Infrastructure, companies like Meta can focus on building state-of-the-art AI models and creating unique AI demo experiences, leaving the heavy lifting to AWS. :boom: This is just the beginning – stay tuned for more game-changing AI innovations from AWS!
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I chuckled when I came across this, but it raises an important query. 🤔 Are you receptive to new experiences? 🌟 Do you find yourself confined to your comfort zone? 🛤️ Does the fear of failure keep you playing it safe, avoiding risks? 🤷♂️ Why is that? 🤔 What could you potentially lose? 🤨 What's preventing you from taking that leap? 🚀 These are some thought-provoking questions worth reflecting on. #personaldevelopment #growthmindset
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AWS IoT SiteWise Edge on Siemens Industrial Edge is now generally available - AWS
aws.amazon.com
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Here’s how Amazon’s homegrown chips are helping customers power complex AI and general compute workloads to process enormous amounts of data at a lower cost.
Amazon racing to develop AI chips cheaper, faster than Nvidia's, executives say
reuters.com
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Atlassian Jira, a platform for issue tracking and project management functions for software projects, has become an indispensable part of many organizations’ workflows to ensure success of the customer and the product. However, extracting valuable insights from the vast amount of data stored in Jira often requires manual efforts and building specialized tooling. Building a generative AI-based conversational application that is integrated with the data sources that contain the relevant content requires time, money, and people. In this post, we walk through the steps to configure a Jira connector for Amazon Q Business.
Improve the productivity of your customer support and project management teams using Amazon Q Business and Atlassian Jira | Amazon Web Services
aws.amazon.com
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Excited to share that the new Llama 3.1 models from AI at Meta are now available on Amazon Bedrock and Amazon SageMaker. Llama 3.1 405B is one of the largest publicly available FMs, setting a new standard for AI. It’s ideal for enterprise applications and R&D, with new capabilities like synthetic data generation and model distillation.
Matt Garman on LinkedIn: Excited to share that the new Llama 3.1 models from AI at Meta are now...
linkedin.com
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"Being happy doesn't mean that everything is perfect. It means that you've decided to look beyond the imperfections." - Gerard Way Thank you for your wise words, Gerard Way! I choose to look beyond my doggo George's imperfections (like his obsession with toilet paper)and be happy with him just the way he is, imperfect like me! #choosehappy
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"Difficulties come not to obstruct, but to instruct." -Brian Tracy Difficulties serve as opportunities for growth and learning, not obstacles. When faced with challenges, we are pushed to scrutinize, refine, and ultimately improve. It is during these tough times that we truly learn, develop, and enhance ourselves on a personal level. So, rather than shying away from difficulties, we should welcome them. Embrace the chance to extract valuable lessons and ask yourself, what is the "teacher" called difficulty trying to teach me? #selfgrowth #learning #embracedifficulties
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I definitely recommend giving this podcast a listen when you have 20 minutes. AWS's Rohan Karmarkar makes some great points about how AWS is building a community of generative AI partners to help customers leverage many LLMs, personal assistants like Amazon Q, and platforms to achieve some impressive customer outcomes. "We believe that there's no one model that's going to meet all the customer use cases," said Rohan Karmarkar, managing director of partner solutions architecture at AWS, on the Targeting AI podcast from TechTarget Editorial. "And if the customers want to really unlock the value, they might use different models or a combination of different models for the same use case." Something that should be talked about more and Rohan talks about... security! Finally, Rohan touches on AWS's Gen AI competency program, which pre-vets and validates partners' competencies in putting Gen AI to work for enterprise applications. With so much FUD in the market around gen AI, AWS is making it easier for customers to know who to trust here. Did you give it a listen? What do you think?
AWS GenAI strategy based on multimodel ecosystem, plus Q | TechTarget
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AI and machine learning are bringing fans closer to the thrilling world of F1 racing. 🏎💨 Formula 1 has teamed up with AWS to revolutionize how fans experience racing events! F1 is using Gen AI to ramp up its storytelling in real time and give fans new insights that make them feel like they’re in the driver’s seat. Check out this article to learn more about our partnership with F1 and the new features at the 2024 British Grand Prix.
Formula 1 turns to AI to speed up connections with worldwide fan base
euronews.com
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Well said