The narrative around AI is often filled with tales of bigger and more complex models. But is 'bigger' truly 'better'? 🤔 In the world of AI, efficiency can often outshine sheer size. Smaller, efficiently trained models are proving that using less, but higher-quality data, can produce results on par—or sometimes superior—to their larger counterparts. This not only cuts computing costs but also curbs energy consumption, a crucial factor as AI expands its reach. 🔋💡 Exciting innovations, such as OpenAI's strides in complex reasoning and compact open-source AI models, challenge the notion that more is always better. These developments highlight a shift towards efficiency and effectiveness over grandeur. 🚀 Think about the ethical and practical implications too. As AI becomes a fixture in daily life, addressing issues like bias, transparency, and privacy becomes imperative. Balancing technological prowess with societal needs is essential for sustainable progress. ⚖️ So, what's your take? Do we focus on refining what we have or pushing the limits further? Share your thoughts! 👇 #AI #MachineLearning #Innovation #Sustainability #Efficiency
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The AI universe is ` with the latest revelation from Google: the Gemini X114 model. 🌟 This experimental AI has grabbed the top spot on the Chatbot Arena leaderboard, a blind-testing platform where AI models are put head-to-head. But beyond accolades, Gemini X114 is sparking crucial debates in the AI landscape. On the surface, its triumph showcases remarkable strides in AI – from complex problem-solving and creative content generation to exceptional visual understanding. But dig a little deeper, and you'll find the model as a double-edged sword, a masterpiece with its share of controversies and pitfalls. ⚖️ The recent debate surrounding AI models like Gemini X114 suggests it's time to rethink how we define and measure AI progress. Are current benchmarks capturing the full spectrum of what really matters? Can we create AI systems that are both technically superior and ethically sound? These questions aren't just for researchers and tech enthusiasts but for all of us. They underline the pressing need to focus on how AI interacts responsibly with human complexities, beyond just technical prowess. Gemini X114 promises a vibrant future for AI development. The path ahead requires balancing technical excellence with ethical responsibility – a challenge that will define the next chapter of AI. 🔍 What do you think of AI models surpassing previous benchmarks yet struggling with real-world implications? 🔗 Interested in seeing how the AI landscape unfolds further? Let's continue the conversation! #AI #ArtificialIntelligence #Google #GeminiX114 #TechInnovation #EthicalAI #AIFuture
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Superintelligence on the way? Is it? Do we need it? And how about GenAI as it is now... With things moving so fast, the question begs not only what is the impact on the workplace and how we engage with this, but what if we can't keep up with it quickly enough? The tech moves fast, humans need to figure out what this means and how to move with it. It seems to me that the pace is increasingly misaligned. I don't just mean, how the tech evolves at huge speed and us adapting... it goes beyond it, us adapting to something we don't feel we can connect to anymore, because we don't understand it anymore. And... take note, I'm not talking here about the AI black box, I'm talking about how it manifests and what that means for human's life. If we don't know what to make of the interaction with it, we don't know how to interact. And that is not even considering the Superintelligence (as that enters a new paradigm altogether). Recommended read to complement these thoughts by Ethan Mollick #ai #genai #superintelligence #manifestation #tech #evolution #revolutions #keepingup #humanity #knowhow #aertsalert
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Should you simply deploy a new AI model and leave it to do its job unattended? 🧐 Absolutely not! The world becomes more complex every day, new skills are constantly needed, meaning AI and ML models need regular monitoring, retraining, debiasing, and maintenance to ensure sustained impact. That’s what our QuantumBlack LiveOps team was made for! 💪 ⚙️ QuantumBlack’s AI-operations-managed services and products ensure long-term impact for deployed models and AI-driven solutions. Learn more about the QuantumBlack LiveOps team and QuantumBlack Coda in a Medium blog post: https://lnkd.in/dZcPiXN9 #AIbyMcKinsey #QuantumBlack #ArtificialIntelligence #Digital #AIOperations
How to sustain the long-term impact of AI
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Are you ready to embrace the future? Explore the evolution of artificial intelligence in the tax and accounting industry and see how AI-powered solutions have grown to streamline your workflow, improve efficiency, and elevate your client service. https://lnkd.in/ehxSV8BP #AI #TaxandAccounting #DigitalTransformation
Evolution of AI
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I was talking to someone after our meetup last night and he was asking me how I deal with customers that believe AI is “magic” and is going to solve all their problems, and other customers that think it's all smoke and mirrors and don’t want to waste their time. I was telling him that is one of the most difficult problems right now. When talking to customers about leveraging AI, it’s hard to know their frame of reference going into the conversation. If they are in the “magic” camp, my strategy is to try to bring them back to Earth without sounding like a curmudgeon. If they are in the non-believer camp, I try to explain to them the massive improvement in tooling and reduction in costs that has occurred in the last few years, and how some business problems are particularly well suited to be solved with AI. It’s a tough problem. What would you do in this case? #AI #ML #customers #hype
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Should you simply deploy a new AI model and leave it to do its job unattended? 🧐 Absolutely not! The world becomes more complex every day, new skills are constantly needed, meaning AI and ML models need regular monitoring, retraining, debiasing, and maintenance to ensure sustained impact. That’s what our QuantumBlack LiveOps team was made for! 💪 ⚙️ QuantumBlack’s AI-operations-managed services and products ensure long-term impact for deployed models and AI-driven solutions. Learn more about the QuantumBlack LiveOps team and QuantumBlack Coda in a Medium blog post: https://lnkd.in/gEvhpA7v #AIbyMcKinsey #QuantumBlack #ArtificialIntelligence #Digital #AIOperations
How to sustain the long-term impact of AI
mckinsey.dsmn8.com
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Ever pondered the impact of AI on the financial landscape? This article provides valuable insights into how technology is reshaping our approach to financial management. With innovative solutions emerging every day, it’s clear that adapting to these changes is crucial for anyone in the industry. A friend of mine recently shifted their approach to financial reporting by integrating AI tools, and the results have been remarkable. Not only did they save time, but they also achieved more accurate projections, enabling them to make smarter investment decisions. The lesson here? Embracing technology isn't just an option; it’s a necessity for staying ahead in today’s market. What innovative tools are you considering to optimize your operations? Let's discuss in the comments! #FinancialManagement #Innovation #AI #Strategy #TrustedExpertise #ModernFinance https://lnkd.in/eC9hnkQP
Where AI is Innovating
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Reflecting on the recent Mobile World Congress, it's clear that the buzz around AI is louder than ever. However, amidst the excitement, there's a persistent misconception that needs addressing: the conflation of AI with basic algorithms. While many companies tout their use of AI, often what's at play is a simple algorithm—a set of predefined rules—rather than true AI, which involves machine learning and the ability to adapt and improve over time. AI, as a term, has become a catch-all for any technology that automates or simulates intelligence, but the distinction is crucial for understanding a product's capabilities and limitations. Algorithms are powerful tools, but they don't possess the dynamic learning and decision-making abilities of AI. As we navigate this technological landscape, it's important for businesses and consumers alike to recognize the difference, ensuring that claims of AI are not just a marketing veneer but a true representation of the technology within. Let's foster an informed dialogue about the technology shaping our future and ensure that when we say AI, we mean it. #AI #Algorithms #mwc24 #MobileWorldCongress #ArtificialIntelligence #MachineLearning #TechnologyAwareness
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📊 The AI Cost Revolution: Opportunity Meets Challenge The landscape of AI models is shifting rapidly, with newer models offering unprecedented cost-efficiency. But, as always, there’s a twist… 🚀 The Opportunity New AI models like GPT-4o mini and Claude 3 Haiku are breaking new ground, significantly undercutting traditional powerhouses in per-token costs. 🧩 The Challenge However, integrating these cost-effective models into existing applications isn’t just a plug-and-play scenario. 🔍 The Bottleneck Output testing and quality assurance (QA) are major hurdles in reducing model costs for businesses already in production. 💡 The Million-Dollar Question How can we streamline the transition between models (e.g., from Claude 3 Haiku to GPT-4o mini) without the need for extensive manual prompt tweaking and testing of thousands of outputs? 🤖 The Future We Need We need automated testing approaches that can validate model outputs at scale, ensuring quality while enabling rapid adoption of cost-saving AI innovations. What are your thoughts? Have you faced similar challenges in your AI implementations? Let’s discuss strategies to balance cost efficiency with output quality! #AIInnovation #MachineLearning #BusinessEfficiency #TechChallenges
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Ever wished AI could fact-check itself in real time? Meet the game-changer: Retrieval-Augmented Generation (RAG). 🌐✨ Exciting times in the AI world! 🌟 Have you heard about Retrieval-Augmented Generation (RAG)? It's like giving AI a search engine to make sure it's giving us the most accurate answers possible. No more weird, out-of-the-blue responses that make you scratch your head. 🤔 RAG is a bit like having a super-smart friend who can pull up all sorts of information in seconds to make sure they're telling you the right thing. It's making AI chats and virtual assistants way smarter and more reliable. Imagine asking for advice and getting responses that are bang on, every time. That's the magic of RAG. ✨ This could be a game-changer for businesses wanting to up their AI game. Better answers mean happier customers and smarter insights. How do you see RAG transforming your industry? Let's chat about the future of AI that's accurate, fast, and just gets you. 🚀 . . #ai #techinnovation #rag #customerexperience #futureofwork #techtalk #sustainability #futurism #future #technology #innovation
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Sr. Solutions Architect, Generative AI Innovation Center at Amazon Web Services (AWS)
4wBoth. Push the limits to see what is possible. Refine models to make them more economical.