61% of large Italian companies are currently testing AI projects, according to the Artificial Intelligence Observatory of the School of Management at the Politecnico di Milano. This statistic underscores the growing importance of artificial intelligence as a critical driver for innovation and competitiveness in the industrial sector. However, not all AI types are the same. At Applied, we specialize in developing projects and solutions based on generative AI. Unlike traditional AI, which primarily focuses on recognizing patterns within data to make predictions or categorizations, generative AI creates new data in response to specific user prompts. This capability allows generative AI to be trained on extensive and diverse datasets, resulting in more accurate and varied outputs. Generative AI’s ability to produce unique content opens up new opportunities in the industrial sector. At Applied, we leverage these opportunities by developing solutions using private LLMs (Large Language Models), specifically tailored for condition monitoring, novelty/anomaly detection, prognostics, and predictive maintenance. #AppliedInnovationMakers #NaturalBornInnovators
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Top 12 Generative AI Use Cases https://lnkd.in/gRdifppV Have you ever wondered about the incredible power of machines to not just analyze data but also to create, innovate, and imagine? Imagine a world where artificial intelligence goes beyond conventional problem-solving and ventures into the realm of creativity—this is where generative AI takes center stage. But what exactly is generative AI, and how is it reshaping industries across the board? What is Generative AI? Generative AI refers to a category of artificial intelligence systems designed to produce new, original content or data that resembles and often extends beyond what it has been trained on. Unlike traditional AI models that focus on specific tasks, generative AI, such as Generative Adversarial Networks (GANs) is capable of creating diverse outputs, whether it be realistic images, text, or other forms of data. It uses learning patterns from a vast dataset to generate novel content, making it a powerful tool for creative tasks, content creation, and problem-solving in various domains. Full Blog: https://lnkd.in/gRdifppV #ai #generativeai #generativeartificialintelligence #artificialintelligence #aitechnology #chatgpt #gpt #usecases #aiapplications #aichatbot #generativeaitools #aibenefits #aiuses
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Today we launched the Responsible Generative AI Specialization with Merve Hickok, University of Michigan - School of Information faculty member and #GenAI expert. 🎉 Course 1: Generative AI: Fundamentals, Applications, and Challenges Course 2: Generative AI: Impact on Business and Society Course 3: Generative AI: Governance, Policy, and Emerging Regulation Course 4: Generative AI: Labor and the Future of Work Enroll today: https://lnkd.in/gdHrUTtz "Responsible Generative AI" is a Specialization exploring the possibilities and risks of generative artificial intelligence (AI). You will establish a comprehensive understanding of the impact of this technology. The series will help you identify impacts relevant to business operations, consumers, society, the labor market, and the environment. #responsibleGenAI #AI #onlinelearning #futureofwork University of Michigan University of Michigan - Center for Academic Innovation Michigan Online Coursera
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Staying one step ahead with AI and its astounding capabilities: Research recently spearheaded by Meta AI, CERMICS, Ecole des Ponts ParisTech, and LISN Université Paris-Saclay reveals an enhanced operation method for Language Learning Models (LLMs): multi-token prediction. This new methodology aims to alleviate the constraints of the traditional single-token model, such as the fixed computation costs assigned to tokens regardless of their importance. Multi-token prediction allows models to predict several future tokens simultaneously, thus optimizing memory usage and speeding up the inference process. Even though still in progress with further testing required across more extensive models, this advancement represents a considerable step toward more efficient and relevant text generation. By focusing on critical decision points, it aids in producing more coherent and contextually appropriate outputs. AI continues to redefine and remodel how we work and innovate. Are you ready to leverage this burgeoning technology to drive your business? Feel free to DM me for more information about this new approach and how it can revolutionize your industry. Stay tuned, stay ahead! #AI #MachineLearning #TechInnovation #BusinessGrowth Source: https://bit.ly/4aicKsW
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A fascinating deep dive from POWER magazine’s February 2024 Digitalization Special Report on the transformative impact of artificial intelligence (AI) in the power sector. AI is offering unparalleled opportunities for efficiency and innovation, but as its applications continue to proliferate, new challenges are emerging. #AI #PowerSector #DigitalRevolution https://lnkd.in/gwVmjiWP
AI’s Paradox in the Power Sector—Unleashing Potential but Confronting Uncertainty
powermag.com
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In real-world scenarios, the performance of Traditional AI and Generative AI can vary depending on the specific task and application. Traditional AI showcases its strengths in tasks demanding logical reasoning, pattern recognition, and rule-based decision-making. Conversely, Generative AI stands out when tackling tasks that require creativity, innovation, and the capacity to produce fresh and original content. For a better understanding of Generative AI vs Traditional AI, you can find the information in the table below: #ai #artificialintelligence #machinelearning #deeplearning #datascience #neuralnetworks #computervision #naturallanguageprocessing #automation #bigdata #industry40 #aiethics #aisolutions #aiforgood #generativeai #aicreativity #generativemodels #creativeai #artificialcreativity #gans #deepgenerativemodels #aiart #generativedesign #creativetechnology #aiinnovation #generativeadversarialnetworks #airesearch #generativeart #algorithmicart #aigenerated #digitalcreativity #aiandart #creativealgorithms #innovativeai #innovation #techtrends #futureofwork #digitaltransformation #smarttech #aiapplications
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In real-world scenarios, the performance of Traditional AI and Generative AI can vary depending on the specific task and application. Traditional AI showcases its strengths in tasks demanding logical reasoning, pattern recognition, and rule-based decision-making. Conversely, Generative AI stands out when tackling tasks that require creativity, innovation, and the capacity to produce fresh and original content. For a better understanding of Generative AI vs Traditional AI, you can find the information in the table below: #ai #artificialintelligence #machinelearning #deeplearning #datascience #neuralnetworks #computervision #naturallanguageprocessing #automation #bigdata #industry40 #aiethics #aisolutions #aiforgood #generativeai #aicreativity #generativemodels #creativeai #artificialcreativity #gans #deepgenerativemodels #aiart #generativedesign #creativetechnology #aiinnovation #generativeadversarialnetworks #airesearch #generativeart #algorithmicart #aigenerated #digitalcreativity #aiandart #creativealgorithms #innovativeai #innovation #techtrends #futureofwork #digitaltransformation #smarttech #aiapplications
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Excellent article on Gizmodo talking about the “Black Box” nature of AI and the importance of understanding what is under the hood. #Construction teams do their best work when they understand the tools and find new uses for them in the field. #SkilledTrades discover new uses for tools in the field all the time, they drive #innovation and advancement. They did it with #BIM and they’ll do it with AI. Looking to unlock the Black Box is a step in the right direction for #ConTech! https://lnkd.in/gdJhgffd
New Anthropic Research Sheds Light on AI's 'Black Box'
gizmodo.com
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Semantic RAG or SRAG is a way to create the Cyborgs (human-in-the-loop) using the latest LLMs (GPT4, Claud3, Gemini 1.5) to understand your data as opposed to text embedding models which were cutting edge 6 years ago. Be on the lookout for more blogs on this topic.
Semantic Knowledge for Artificial Intelligence -> Data in Context Drives AI Initiatives Artificial Intelligence (AI), particularly generative AI and machine learning, has become a priority for businesses due to its ability to interpret data and enable smarter operations by leveraging large language models (LLMs) in critical applications and systems. However, these data-human interactions need to be regularly monitored to reduce hallucinations and data biases and facilitate more accurate output. Merging generative AI with semantic technologies and knowledge graphs can deliver value to digital ecosystems by applying human insight and context to data at a machine scale. #AI #KnowledgeGraph #Semantics https://lnkd.in/eNv7PtY8
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#research #chatgpt #artificialintelligence #grammarly #ai Exploring the Frontier of AI: How GPT-4 is Transforming Research in 2024 ⚠️ Follow for Live Updates
Exploring the Frontier of AI: How GPT-4 is Transforming Research in 2024
medium.com
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🌟 Demystifying AI: It's More Than Just Generative AI!🌟 There's a common misconception that Artificial Intelligence (AI) is synonymous with Generative AI (GenAI). However, AI encompasses a vast array of technologies, each with unique applications and strengths. To shed light on this, let's explore the different AI technologies and their use cases. 📊 Check out the graph below for a summarized view of how AI technologies vary in terms of data requirements and real-world applications. 🍱 Key Takeaways: 1. AI technologies are diverse and tailored to different types of data and problem-solving scenarios. 2. Each technology has unique strengths, from rule-based systems to advanced deep learning models. 3. Understanding these distinctions helps in choosing the right AI tool for specific business needs. 🔍 Stay curious and continue exploring the fascinating world of AI beyond GenAI! 🤝 Curious about how these AI technologies can benefit your business? Let's connect! #ArtificialIntelligence #MachineLearning #DeepLearning #GenerativeAI #TechInnovation #DataScience #AIApplications #AI #NeuralNetworks
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