Why of AI’s Post

Here some chains of prompts to use and Prompt Doctor to help : https://lnkd.in/ekxgY9Ad #prompts #AI #stepbystep #promptengineering To optimize the performance of GPTs, the strategies can be grouped based on the nature of tasks or problems they best address. Here are effective combinations of prompts and analysis of when to use them: 1. Complex Problem-Solving - Problem Decomposition - Systems Thinking - Hierarchical Processing - Recursive Thinking When to Use : Use this combination for tackling complex, multi-faceted problems. Break down the problem, understand systemic interactions, prioritize components, and apply recursive methods to solve each part. 2. Creative and Innovative Thinking - Lateral Thinking - Conceptual Blending - Analogical Reasoning - Creative Synthesis When to Use : Optimal for tasks requiring novel solutions or creative ideas. It's suitable when you're looking to innovate or when traditional problem-solving methods don't apply. 3. Decision Making and Strategy - Critical Thinking - Strategic Planning - Probabilistic Thinking - Ethical Reasoning When to Use : Apply these strategies when making significant decisions or long-term plans, especially when these involve uncertainty, ethical considerations, and the need for sound judgment. 4. Learning and Understanding - Metacognitive Awareness - Reflective Thinking - Inductive Reasoning - Pattern Recognition When to Use : These are particularly useful for tasks involving learning new information, reflecting on past experiences, identifying patterns, and making generalizations. 5. Social and Emotional Interactions - Empathetic Reasoning - Narrative Thinking - Counterfactual Thinking When to Use : Use these strategies when the task involves understanding human emotions, storytelling, or considering alternative social scenarios and outcomes. 6. Complex Analysis and Research - Deductive Reasoning - Abductive Reasoning - Causal Analysis - Interdisciplinary Integration When to Use : Ideal for research or analytical tasks requiring a thorough understanding of causal relationships, integrating different fields, or deducing conclusions from given information. 7. Practical and Quick Problem-Solving - Heuristic Methods - Syllogistic Reasoning When to Use : These methods are best for quick decision-making or problem-solving where speed is crucial, and perfect solutions are less critical than timely ones. By combining these strategies effectively and applying them contextually, GPTs can significantly improve their performance across a wide array of tasks, from complex problem-solving and decision-making to learning, creativity, and social interactions.

From being just a 'Google Search' away to now a 'Chat GPT' away, our lives have transformed dramatically. There's no doubt that AI has made our lives easier. However, in our quest for efficiency and productivity, we've become so dependent on these tools that we've started losing our ability to think independently. We have paid a huge penalty for that by losing our grip on our abilities to think creatively and communicate well. According to the World Economic Forum, communication skills, and creative thinking are key skills for the future. Ironically, the same report highlights a significant gap between the demand and supply of these essential skills. Here's a simple habit that can enhance your creative and problem-solving skills while rekindling your thinking abilities. 🖊 Reading and Writing. ✅ Effective Communication: Whether crafting emails, reports, or presentations, expressing your ideas effectively will set you apart. Strong writing skills ensure your message lands with impact. ✅ Critical Thinking & Information Literacy: AI can analyze data, but you need to interpret it and draw insightful conclusions. Skilled reading allows you to filter information overload, identify key takeaways, and think critically about the data AI presents. ✅ Lifelong Learning & Adaptability:  The future of work is a continuous learning journey. Absorbing complex concepts and staying up-to-date with industry trends require strong reading comprehension. Become a master learner with the power of reading efficiently. From compelling storytelling to persuasive writing, AI can just direct you but it's your unique creativity and experience that adds the human touch and creates a difference. I started investing in reading and writing for a year now and can drastically see the difference. Be the writer of your story! Don’t outsource it to AI.

GPTs and LLMs will soon create vanilla cognitive thought - I anticipate a rubber band effect when people realize that they are a short-term advantage once everyone starts using them. i anticipate Models as a Service will create islands of competitive differentiation, followed by intense market capture and defense: 🔽 People using GPT-4 came up with better individual answers, but collectively their ideas were 41% less diverse. Dozens of people asking GPT-4 the same thing yields vanilla. 🔽 It's not good at complex problem solving, but can convince you it is! People using GPT-4 performed 23% worse on a proposal to a complex business problem.

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If you're someone who reads a blog then you understand the struggle of seeing a blog like BLOCK of TEXT. It's like reading an exam. Who would read it without visualizing, right? It's a total turn off and people will just mindlessly scroll at the bottom to read the conclusion. As from a blog post, it's very much visually appealing if you included an image to your blog. Blogs are made for visual learners too, so if you want more readers Make sure to add an image to get higher chance of CTR intead of a bounce. Think of it like showing a glimpse of what your blog is all about, and remember that first impression last. Share this to your friend and follow for more AI for business tips!

𝗔𝗜 𝗕𝗮𝘀𝗶𝗰𝘀 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹: 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗧𝗲𝗿𝗺𝘀 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 🤖 As AI shapes our future, getting to know its basic terms becomes important for everyone. Here's an easy-to-understand guide: ✅ 𝗔𝗜 (𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲): Machines designed to think and act like humans. 📚 𝗠𝗟 (𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴): Systems that learn from data to automatically improve. 🧠 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A form of powerful ML using complex, brain-inspired networks. 🔗 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸: An interconnected network of artificial neurons that processes information. 🏷️ 𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Training with labeled data (inputs & desired outputs). 🔍 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Finding patterns in unlabeled data. 🎮 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Learning through trial & error with rewards & penalties. 💬 𝗡𝗟𝗣 (𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴): Machines that understand and process human language. 👁️ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Machines that see and interpret visual information. 📝 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: Instructions for computers to solve problems. ⚖️ 𝗕𝗶𝗮𝘀: Unfair prejudice in data or algorithms. 🤔 𝗘𝘁𝗵𝗶𝗰𝘀 𝗶𝗻 𝗔𝗜: Considering the moral implications of AI development. 🤖 𝗚𝗔𝗡𝘀 (𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗱𝘃𝗲𝗿𝘀𝗮𝗿𝗶𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀): Two competing networks that train each other to generate realistic data. 🌐 𝗚𝗲𝗻𝗔𝗜 (𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜): Technology for creating content similar to human-made work. 💡 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹: Trained computer program to make predictions or decisions. ⛏️ 𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴: Uncovering knowledge and insights from large datasets. 👉 Follow Gina Acosta Gutiérrez 👩🏻💻 for more resources! ➡ Get the latest AI news, tools, tutorials and guides on using popular AI tools for FREE here: https://lnkd.in/ewfrvcy5 #business #innovation #ai #artificialintelligence #developer #productivity #marketing #dataanalysis #analytics #technology #tech #learning

Some essentials AI term that need to be remember Thanks to Gina Acosta Gutiérrez for sharing this #AI #continiouslearning

Presentation and report writing on: "Grave New World: Can we oversee AI decisions?" #MBA #cmsbusinessschool #rapidreading

I didn't need #GenAI back in my days as an Associate. Or maybe I did... “People seem to mistrust the technology in areas where it can contribute massive value, and to trust it too much in areas where the technology isn’t competent.” That's a good summary of results of an academic study of the impact of GPT-4 on the work of 750 Boston Consulting Group (BCG) Associates. Highlights: 🔼 People using GPT-4 for basic tasks (writing, analytics, idea generation) finished 12% more tasks in time allowed, completed tasks 25% more quickly, and produced 40% higher quality results. 🔼 The boost was higher for those on the bottom half of skills (43%) but it was also a boost for those on the top half (17%). Some sizable watch-outs: 🔽 People using GPT-4 came up with better individual answers, but collectively their ideas were 41% less diverse. Dozens of people asking GPT-4 the same thing yields vanilla. 🔽 It's not good at complex problem solving, but can convince you it is! People using GPT-4 performed 23% worse on a proposal to a complex business problem. 👉🏽 The latter can be mitigated somewhat by training, but even those who were trained on prompt engineering and about hallucinations performed 17% worse! Figuring out where we are (almost daily) on what Ethan Mollick and company call the #GenAI "Jagged Frontier" is going to be critical to making good use of it as individuals and organizations. For more, check out these excellent write-ups by Ethan: https://lnkd.in/gCaVa7ke? and Boston Consulting Group (BCG): https://lnkd.in/gNXcn9Vy? Great work by Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz- Assaf, Katherine Kellogg, Karim Lakhani and the Henderson Institute team François Candelon, Lisa Krayer, Saran Rajendran, and David Zuluaga Martínez #productivity #technology #changemanagement #AI

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