Michael Cutler’s Post

Generative AI Explained- Simple let’s Know How it Works ☁ In very basic terms, Generative AI takes every input, be text or images or sentences, transforms as a set of vectors using artificial neural networks. These Biometrical Vectors record important features of the data but in numerical form. When you input a query, Generative AI converts it into vectors, which are mathematical representations of the data. This process allows the AI to understand the input's key features. The AI then uses vector operations to understand relationships and similarities between different pieces of input data (like text and images). This helps in finding meaningful connections between them. Finally, to find similar queries or data points, a search is conducted in the vector space(Database). The AI identifies the closest matches, providing relevant and accurate results. By transforming data into vectors and understanding their relationships, Generative AI can generate human-like text, create realistic images, and even make personalised recommendations! # edquest #GenerativeAI #ArtificialIntelligence #MachineLearning #DeepLearning #DataScience #AIExplained #TechInnovation

Unlock the world of Artificial Intelligence (AI) with comprehensive insights. Learn about AI's impact on technology, business, and society. Explore key concepts like machine learning, neural networks, and AI ethics. Dive into AI's applications in various industries and discover how it's shaping the future. 🎯 𝐊𝐧𝐨𝐰 𝐌𝐨𝐫𝐞 👉 https://lnkd.in/gkpKP8Kg #ArtificialIntelligence #AI #MachineLearning #DeepLearning #NeuralNetworks #AIethics #TechTrends #FutureTech

GenAI, is rapidly emerging as a transformative force across various industries. Leveraging advancements in machine learning and neural networks, GenAI goes beyond traditional AI capabilities by not just analyzing and recognizing patterns in data, but by creating new and original content. This innovation opens up unprecedented opportunities in creativity, efficiency, and problem-solving. #generativeai #genai #ai #machinelearning #innovation #futuretech #artificialintelligence #healthcareai #aiinbusiness #responsibleai #techrevolution

The concept of "AI Winter" refers to periods of decreased funding and interest in artificial intelligence, leading to slowed progress and development. These cycles of highs and lows have significantly shaped the evolution of AI, marked by periods of rapid advancements followed by stagnation. Understanding these fluctuations helps anticipate future trends and informs strategies for sustaining AI innovation. #AIHistory #TechEvolution https://lnkd.in/dTWk-8AY

Super Artificial Intelligence: The Future of AI 🌟 From hypothetical concepts to advanced technologies like neural networks and multimodal AI, Super Artificial Intelligence (ASI) represents the next frontier in AI evolution. With the potential to surpass human intelligence, ASI could transform industries, solve complex problems, and revolutionize the way we live and work. But with great potential comes significant risks, including ethical dilemmas and societal impacts. Explore how ASI could shape our future. 🌐 𝐋𝐞𝐚𝐫𝐧 𝐌𝐨𝐫𝐞 👉 https://buff.ly/4g4snIh #SuperArtificialIntelligence #AI #ArtificialIntelligence #MachineLearning #TechInnovation #AIApplications #FutureTech #TechEvolution #DeepLearning #NeuralNetworks #ASIExplained #AIAndEthics #DigitalTransformation #AIForBusiness #AdvancedAI

The Road to Artificial General Intelligence: Unlocking the Next Frontier in AI The journey towards Artificial General Intelligence (AGI) is filled with promise and challenges. AGI aims to replicate human-like cognitive abilities, enabling machines to solve problems, adapt, and innovate across diverse domains. While breakthroughs in deep learning and neural networks bring us closer, ethical considerations and technological limitations remain pivotal. Explore this fascinating journey and the hurdles we must overcome in our pursuit of true AI intelligence. Read more here - https://lnkd.in/g3yaYhVM #AI #AGI #ArtificialIntelligence #DataHavn

A study by Apple AI found that LLMs rely on sophisticated pattern matching rather than true reasoning. Simply changing names in a problem can alter the model's output by ~10%! 📊 This fragility poses significant challenges for building reliable AI agents. As the researchers state, "𝑇ℎ𝑒𝑟𝑒 𝑖𝑠 𝑗𝑢𝑠𝑡 𝑛𝑜 𝑤𝑎𝑦 𝑐𝑎𝑛 𝑦𝑜𝑢 𝑏𝑢𝑖𝑙𝑑 𝑟𝑒𝑙𝑖𝑎𝑏𝑙𝑒 𝑎𝑔𝑒𝑛𝑡𝑠 𝑜𝑛 𝑡ℎ𝑖𝑠 𝑓𝑜𝑢𝑛𝑑𝑎𝑡𝑖𝑜𝑛, 𝑤ℎ𝑒𝑟𝑒 𝑐ℎ𝑎𝑛𝑔𝑖𝑛𝑔 𝑎 𝑤𝑜𝑟𝑑 𝑜𝑟 𝑡𝑤𝑜 𝑖𝑛 𝑖𝑟𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡 𝑤𝑎𝑦𝑠 𝑜𝑟 𝑎𝑑𝑑𝑖𝑛𝑔 𝑎 𝑓𝑒𝑤 𝑏𝑖𝑡 𝑜𝑓 𝑖𝑟𝑟𝑒𝑙𝑒𝑣𝑎𝑛𝑡 𝑖𝑛𝑓𝑜 𝑐𝑎𝑛 𝑔𝑖𝑣𝑒 𝑦𝑜𝑢 𝑎 𝑑𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑡 𝑎𝑛𝑠𝑤𝑒𝑟." 🤖 The inability of LLMs to reason abstractly becomes even more apparent as problem complexity increases. Performance quickly deteriorates on larger planning and arithmetic tasks, unlike a calculator which maintains 100% accuracy. These findings align with the long-standing views of AI researcher Gary Marcus, who has argued since 2001 that symbol manipulation and abstract reasoning are essential for true intelligence. As we continue to push the boundaries of AI, it's crucial to address these fundamental limitations. Neurosymbolic AI, combining neural networks with symbolic reasoning, may hold the key to unlocking more robust and reliable AI systems. 🔑 read more: https://lnkd.in/dpQmHYmt #AI #MachineLearning #Reasoning #Neurosymbolic #ArtificialIntelligence #LLM #AppleAI #Reasoning #Agents

Will AI make the workforce lose creativity? AI models are becoming impressively good at mimicking brain functions, recognizing patterns, and making decisions almost like humans. Some scientists even compare artificial neural networks to our own gray matter. However, human brains still have some unique advantages. For instance, we excel at learning from just a few examples, while AI often needs vast amounts of data. We are also great at adapting to new situations on the fly. As for loosing creativity? I do not think so. But it could change how we think and learn. The key is to use AI wisely, we should not let it replace our critical thinking or creativity. Instead, let us use AI to handle routine tasks and free up time for higher-level thinking. What do you think? Could AI stop our creative juices from flowing? #AI #CriticalThinking #Productivity

The Future is Here👩💻 . . As neural networks continue to evolve, their potential applications are virtually limitless. . . From transforming businesses to advancing scientific research, they’re paving the way for a smarter, AI-driven future. . . Stay tuned for more insights in my next post! 🔍🔜 . . . #NeuralNetworks #AI #MachineLearning #TechInsights #DeepLearning #ArtificialIntelligence #Innovation #FutureOfWork