Andrew Bruce Smith’s Post

🤖 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈? Generative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, music, and more. It doesn’t just follow pre-set rules; instead, it learns from vast amounts of data to produce original and creative outputs. 🔧 𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐈𝐭 𝐖𝐨𝐫𝐤? 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐃𝐚𝐭𝐚: - Generative AI systems are trained on large datasets. For example, a generative AI that writes stories might be trained on thousands of books and articles. - During training, the AI looks for patterns and structures in the data. It learns the rules of language, common themes, and how stories flow. 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐍𝐞𝐰 𝐂𝐨𝐧𝐭𝐞𝐧𝐭: - Once trained, the AI can create new content based on what it has learned. - For example, you can give it a prompt like “Once upon a time…” and it can write a complete story. - It doesn’t just copy the data it was trained on; it creates something new by combining what it has learned in unique ways. 🌟 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐢𝐧 𝐄𝐯𝐞𝐫𝐲𝐝𝐚𝐲 𝐋𝐢𝐟𝐞: - 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬: Many customer service chatbots use generative AI to provide accurate and helpful responses to customer queries. - 𝐈𝐦𝐚𝐠𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧: Tools like DALL-E create stunning images based on text descriptions. - 𝐌𝐮𝐬𝐢𝐜 𝐂𝐨𝐦𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧: AI can compose original music tracks, perfect for background scores or personal projects. Generative AI is a game-changer, opening up endless possibilities for creativity and productivity. It’s all about teaching machines to understand and create, making our interactions with technology more natural and innovative. 🔍 𝐂𝐮𝐫𝐢𝐨𝐮𝐬 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐡𝐨𝐰 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐜𝐚𝐧 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐲𝐨𝐮𝐫 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲? 𝐃𝐫𝐨𝐩 𝐲𝐨𝐮𝐫 𝐭𝐡𝐨𝐮𝐠𝐡𝐭𝐬 𝐚𝐧𝐝 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬 𝐛𝐞𝐥𝐨𝐰! #AI #GenerativeAI #Technology #Innovation #MachineLearning #ArtificialIntelligence #TechExplained #FutureOfWork

Here's a simple example on how generative AI works which can help you better your use of it. And here’s how you can leverage this understanding to use AI more effectively in your business: 🧩 The Puzzle of Generative AI: Piece-by-Piece Learning: Instead of trying to solve a big puzzle all at once, generative AI learns the best way to add each new piece. This allows it to create complex outputs, like text or images, step by step. 🛠️ Key Technologies Behind Generative AI: - Transformer Architecture: This is the backbone of many generative models, like GPT-4. Transformers allow the AI to understand context better by looking at relationships between different pieces of data. Imagine being able to see the whole picture while working on each piece of the puzzle! - Reinforcement Learning with Human Feedback (RLHF): This technique fine-tunes AI models by letting them learn from feedback. Think of it as teaching the AI to improve by showing it which puzzles are solved correctly and which aren’t. 💡 Key Takeaways for Your Business: - Personalized Content Creation: Use generative AI to create customized marketing content, personalized to your audience, piece by piece. - Automated Reports & Summaries: AI can generate detailed reports or summaries from large data sets, saving you time and providing insights. - Creative Brainstorming: Let AI assist in generating new ideas for products, services, or campaigns by predicting the next best steps based on your input. Ready to see how AI can revolutionize your business? 🚀 🔗 let’s connect to explore how you can start applying generative AI today! #AI #GenerativeAI #BusinessTransformation #TechInnovation #MachineLearning #artificialintelligence

Visual tools like AI cards and Miro boards transform complex AI concepts into clear, actionable insights, processing information 60,000 times faster than text. Our AI Experience Sessions demonstrate how these innovative tools foster collaboration and strategic visualization, making AI accessible and actionable across departments. Dive into the future of learning and strategy development. https://lnkd.in/efXhZwA5 #AI #VisualLearning #TeamCollaboration #Innovation #BusinessGrowth

🚀 Elevating AI Intelligence: The Artistry of Representation Learning 🎨🤖 In the expansive canvas of AI, where algorithms strive for brilliance, there's a transformative technique called Representation Learning. 🌌 But what makes this method uniquely important in the world of AI, and why is it the brushstroke that paints the masterpiece of intelligent algorithms? Let's explore the artistry of Representation Learning: 🌐 The Palette of Understanding: Representation Learning is the palette that brings hues of understanding to AI models. It's the technique that enables algorithms to automatically learn and extract meaningful features from raw data. Imagine it as the artist's skill to distill complex information into elegant, interpretable patterns. 🔗 Unleashing Contextual Depth: In the tapestry of AI, context is everything. Representation Learning dives into the depths of data, capturing intricate relationships and nuances. It's like unraveling the layers of a story, revealing the rich details that make AI models more perceptive and contextually aware. 📈 From Raw Data to Knowledge: Raw data is the raw material, and Representation Learning is the alchemy that transforms it into knowledge. It's the process of discovering patterns, structures, and representations within the data, elevating AI from being a mere calculator to a discerning learner. 🛠️ Building Transferable Intelligence: AI models are often tasked with various challenges. Representation Learning equips them with transferable intelligence. The representations learned in one domain can be applied and adapted to new tasks, making AI more versatile and capable of continuous learning. 🌟 Breaking the Limitations: Traditional AI methods have their boundaries. Representation Learning pushes these boundaries by allowing models to autonomously discover features and representations that might be elusive through manual engineering. It's the breakthrough that fuels innovation and surpasses conventional limits. 💡 So, the next time you delve into the realm of AI, remember that Representation Learning is the artist's brush that brings depth, context, and transferable intelligence to your models. It's the creative force that propels AI beyond its traditional constraints. Have you witnessed the transformative power of Representation Learning in your AI endeavors? Share your insights and experiences in the comments below, and let's continue to celebrate the artistry of AI! 🚀🎨🤖 #AI #RepresentationLearning #MachineLearning #DataScience

What skills matter most and how do we teach them in the age of AI? “Authentic human stories that represent the shared experience of being human will have new meaning in the age of AI, especially when it comes to teaching timeless human skills like empathy and resilience,” he said. “Hearing stories from diverse people from a variety of professional backgrounds will also help people think laterally across traditional knowledge domains, with fresh perspectives opening new ways of seeing problems and finding innovative solutions.” Thanks to Reworked and Michelle Hawley for including my thoughts in this article. #AI #LearningAndDevelopment #Storytelling #GenerativeAI #Learning #Skills #DurableSkills #SkillsTraining

Generative AI is not just a technological advancement; it’s a paradigm shift that enables us to enhance creativity, streamline processes, and drive innovation across various sectors. From generating insightful content and automating routine tasks to creating sophisticated models and simulations, the applications are boundless. I’m excited to apply these insights and continue exploring how AI can drive meaningful change in our professional journeys.  #GenerativeAI #BusinessInnovation #FutureOfWork #AI #MachineLearning #ContinuousLearning

Exploring the creative potential of artificial intelligence: From monitoring stakeholder communications to generating content, AI is seamlessly integrated into our daily workflows. But how creative can AI really be? And can AI be a valuable assistant in the creative process? An interesting paper by Jennifer Haase and Paul Hanel from Humboldt-Universität zu Berlin provides insights into ·        The creative abilities of generative AI. ·        A comparison of human and artificial creativity. ·        The value of AI tools as creative assistants in everyday workflows. 👉 Read more about the results in our summary of the study here #AI #Creativity #TechResearch #GenerativeAI #ArtificialIntelligence #TechInsights #CreativeProcess

Generative AI Explained & How to Use It Imagine having Einstein in your basement, ready to answer your questions, write poetry, or even code like a pro. That's kind of the power generative AI offers! This technology is creating a revolution, and it's crucial to understand it. Here's a breakdown of this exciting field: ◾What is Generative AI? Unlike regular AI that analyzes data, generative AI creates entirely new content, like text, images, or even music. Think of it as a super-powered autocomplete tool on steroids. ◾How Does it Work? Imagine a massive network of interconnected numbers. Generative AI learns by processing massive amounts of data (text, code, images) and adjusts these numbers to generate new outputs. It's like a baby learning language by listening and mimicking. ◾The "Einstein" Effect: These AI models can be incredibly powerful. They can brainstorm ideas, translate languages, and even write different creative text formats. The key is knowing how to "talk" to them effectively through prompts and instructions. 🔹This is Just the Beginning, Generative AI is rapidly evolving, blurring the lines between human and machine capabilities. It's a powerful tool that can be used for: ◽Content Creation: Generate marketing copy, product descriptions, or social media posts in seconds. ◽Coding Assistance: Get help writing clean, efficient code or troubleshoot problems. ◽Design Inspiration: Brainstorm new design ideas or variations on existing ones. ◽Personal Productivity: Use AI as a sounding board for ideas or to summarize complex topics. The world 🌎 is changing rapidly with generative AI. Are you ready? Here are some resources to get you started: ◾Play around with free generative AI tools like ChatGPT ◾Explore different generative AI models and their capabilities. ◾Learn how to craft effective prompts to get the most out of these tools. Generative AI is here to stay. By understanding and embracing it, you can unlock new possibilities and thrive in this exciting new era. What are your thoughts on generative AI? Share your experiences in the comments! #generativeAI #AI #ArtificialIntelligence #futureofwork #creativity

📣 Last week, I attended two "in-person" events, both focused on how can #AI help us with our work and routine tasks (writing emails, creating documents and even code, generating project plans, etc.). It was great to see that no matter what your level of understanding, there's been a community approach to learning and even "playing without fear" with generative AI. So fun! 💡 There are skills that everyone will need to gain, but to me, the key skills is curiosity! Let your imagination go and think about the possibilities...and perhaps instead of being resistant to the changes AI will require, we can enjoy the experience! ❓ What is your AI Readiness? And how do you compare with your peers? If you want to find out, please take our 5-min survey to share your thoughts! (survey link in the comments below) #intelligentautomation #ethicalAI4HR #intelligentassistants https://lnkd.in/gekWQkvG

How AI savvy are you? Today I spent the morning at Media Evolution in Malmö for Kickstart AI – a seminar about AI to increase understanding and get some hands on ways of working with AI. Topics covered during the seminar included how AI will impact business today and in the future, what I can do to increase competitiveness through AI, how AI can help me become more efficient, how to create real business value from Chat GPT and other large language models and much more. Thank you Innovation Skåne and AI Sweden for this opportunity! I leave with a sense of urgency – learning about AI is urgent and needed. Being just me in the new company, it becomes extra important to spend time on what is truly value adding for me and what generates value for customers. I can’t afford “wasting” my time on things AI can help me do. I realize there is more value to generative AI than just generate data – that there is value also in the dialogue with the AI assistant.   Next step for me is to evaluate what areas are relevant for me to explore when it comes to getting AI to help, but also to define which areas are core to me and part of my brand. Once defined I will start exploring how generative AI can help me. My key takeaways from today are 3 questions to ask and 3 key factors to be successful in using generative AI. Questions: 🪁 What are the bottle necks? 🪁 What kind of data do I have? 🪁 How do I wish AI to be used in my company? Key factors: 🪁 Gather data 🪁 Use AI to understand AI 🪁 Use the dialogue   How do you use generative AI in your business? #AI #kickstartAI #learning #transformation #development