Mega-prompts are the latest trend in the world of generative AI prompting. As the name suggests, mega-prompts are longer in length with the intention to generate more nuanced outputs. Mega-prompts and traditional short prompts each have distinct advantages and potential drawbacks in terms of effectiveness when used in generative AI applications. ### Mega-Prompts - **Advantages**: Mega-prompts, or long prompts, provide more context and detail, which can lead to more nuanced and comprehensive responses from AI models. They are particularly beneficial when exploring complex topics, as they can guide the AI's understanding and encourage detailed and creative outputs[1]. - **Challenges**: Crafting effective mega-prompts requires careful structuring to avoid overwhelming the AI with unnecessary information or leading it off-track. There is also a risk of the AI getting lost in excessive details, which can result in tangential or irrelevant responses. ### Short Prompts - **Advantages**: Short prompts are typically more focused and direct, making them easier to compose and more efficient in terms of processing. They are suitable for straightforward queries where brevity is preferred. - **Challenges**: While short prompts are efficient, they may lack the depth required for more complex inquiries, potentially leading to less informative responses. They might not provide enough context for the AI to generate detailed or creative answers. ### Conclusion Both mega-prompts and short prompts have their merits, and the choice between them depends on the specific requirements of the task at hand. Mega-prompts are advantageous for in-depth exploration and creativity, while short prompts excel in simplicity and directness. Users can optimize their interactions with AI by judiciously employing both types of prompts depending on the context and desired outcome.
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Europeans are optimistic about generative AI but there is more to do to close the trust gap Consumers and employees across Europe clearly acknowledge the benefits of generative AI, although their levels of trust vary depending on the scenario and who is using it https://lnkd.in/gH9z3mKu #AIAdoption #FutureOfWork #AICommunity #DigitalTrust #EuropeanTech #AIInnovation #TechTrust #AIEthics #GenerativeAI #TechForGood
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?? Launch Alert for Consultants! ?? We're excited to work with CimarronAi to introduce their newest book "Leveraging GEN-AI & GPT for Consultants," your comprehensive guide to excelling in the AI consulting arena. This book provides essential knowledge and tools needed to thrive in the rapidly evolving field of generative AI. Inside, you'll discover: Fundamental concepts of generative AI Strategies to identify AI opportunities across industries A roadmap for integrating AI solutions effectively Practical tips for establishing and scaling your AI consulting practice Ready to transform your consulting business with AI? Dive into our guide and start making a significant impact today! ?? Grab your copy now: https://lnkd.in/daThtFS9 hashtag #AIConsulting hashtag #GenerativeAI hashtag #BusinessStrategy hashtag #ProfessionalDevelopment hashtag #NewRelease
Leveraging GEN-AI & GPT for Consultants: A comprehensive guide for setting up or enhancing an already-existing consulting business with/for Generative AI
amazon.com
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Wondering how AI is shaping our world? ?? Check out Panaya's blog discussing the reality of AI, uncovering myths, and revealing how Panaya uses Practical Intelligence to revolutionize enterprise testing. ??? ?? Get the insights here: https://okt.to/jlnSb7 What are your thoughts on AI in enterprise testing? Share your insights below! ?? #AI #EnterpriseTesting #TechInnovation #Panaya
AI: Artificial Intelligence or Practical Intelligence?
panaya.com
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?? Launch Alert for Consultants! ?? We're excited to introduce "Leveraging GEN-AI & GPT for Consultants," your comprehensive guide to excelling in the AI consulting arena. This book provides essential knowledge and tools needed to thrive in the rapidly evolving field of generative AI. Inside, you'll discover: Fundamental concepts of generative AI Strategies to identify AI opportunities across industries A roadmap for integrating AI solutions effectively Practical tips for establishing and scaling your AI consulting practice Ready to transform your consulting business with AI? Dive into our guide and start making a significant impact today! ?? Grab your copy now: https://lnkd.in/daThtFS9 #AIConsulting #GenerativeAI #BusinessStrategy #ProfessionalDevelopment #NewRelease
Leveraging GEN-AI & GPT for Consultants: A comprehensive guide for setting up or enhancing an already-existing consulting business with/for Generative AI
amazon.com
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? ?? ?? ?? When considering the performance of AI Algorithms, is accuracy enough?? ?? ? My latest blog article, **"Demystifying the AI Black Box,"** explores the critical role of interpretability, explainability, and complexity considerations in ensuring responsible and effective AI deployment within healthcare. I examine: ? How evaluation of AI models should go beyond raw accuracy and consider Utility and Penalty rewards to provide meaningful explanations for their decisions. ? Why balancing accuracy with computational efficiency is crucial for real-world healthcare applications, with two example use cases. ? How this balancing act needs human-in-the-loop (HITL) to best inform these key decisions and conduct AI audits to ensure responsible AI models. ?? Let’s dive into the article and share your thoughts! #AIHealth #HealthcareInnovation #ResponsibleAI #EvaluatingAI #HITLAI https://lnkd.in/gzUgpJcM
Demystifying the Black Box: Understanding Generative AI Algorithm Performance
medium.com
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What would you do if your design team is divided into two, for and against using AI for design? Here's what I would do. 1. Find why they are divided, what's the concern of the side that's against ai use, and what's the goal the other team thinks is better to use ai for. 2. Categorize the part of design process that the team wants to use ai for vs not use ai for 3. Write down assumptions of both the sides before conducting an ai experiment 4. Run a small test to see how those assumptions tally against each other 5. Have a discussion around the experiment results and decide where ai can actually be useful without being a danger to existing force and how the team can use ai as their ally instead of being afraid of it. 6. If the results of ai usage are not in favor of the end goal, make a decision accordingly.
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If you think that generative AI _is_ AI, well, you probably need to expand your awareness. It’s bigger than that. Join my workshop at the virtual DWAI conference in June to learn more about the fundamentals of AI from a designer’s perspective, and what the fundamentals mean for your design practice. https://lnkd.in/g-c2Xa4H
The Basics of AI, for Designers, by One of Our Own
rosenfeldmedia.com
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Can you trust your AI model results: Insights on explainable AI Martin Keen - What is Explainable AI? -> https://buff.ly/4aKqlKL Bernard Marr - Explainable AI: Challenges and Opportunities in Developing Transparent Machine Learning Models -> https://buff.ly/4b54Gg8 Liz Grennan, Andreas Kremer , Alex Singla , Peter Zipparo: Why businesses need explainable AI - and how to deliver it -> https://buff.ly/3BVorqq Dr. Cari Miller - AI Procurement: Explainability Best Practices -> https://buff.ly/3QeGCiJ Dr. Syed Hassan Amin - AI is rapidly transforming industries, but its potential can only be fully realized when it’s trusted. A crucial factor in building trust is explainability. https://buff.ly/4gqwhuB Cassie Kozyrkov - Explainable AI (XAI) is getting a lot of attention these days and if you’re like most people, you’re drawn to it because of the conversation around AI and trust. https://buff.ly/4itdyQW Mara Pometti, Medha Bankhwal , Carlo Giovine, Roger Roberts - Building AI Trust, The Key Role of Explainability https://buff.ly/4g7Une7 Shankar Ramaswami - Explainability in AI: Building Trust and Transparency https://buff.ly/4gu3HZy Meike Nauta - 6 Explainable AI Methodologies -> https://buff.ly/3U5TjO1 Ayman Nadeem - Explainable AI for Transparency and Trust -> https://buff.ly/3xLkUwB Kane Simms - The case for explainable AI -> https://buff.ly/3JreMMz Follow me for more AI insights
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?? Are You Using AI to Create Value... or Just More Words? I've been using Generative AI a lot in my work lately and it's been incredibly useful, but it can't create genuine insights from thin air. After seeing countless folks fall into the same trap, I created this simple visualization to illustrate two contrasting approaches: ?? The Value-Diminishing Pattern: Providing a few surface-level bullet points and expecting AI to magically transform them into meaningful content. Remember: garbage-in, garbage-out. While the AI might generate more words, it's merely diluting your original insights with synthetic filler. ? The Value-Enhancing Pattern: Using AI to integrate and amplify existing human work. By providing both structured frameworks AND comprehensive supporting material, you enable AI to preserve intentional structure while meaningfully weaving together human-generated insights. ?? Key Takeaway: AI's strength isn't in creating new insights, but in helping humans organize, connect, and express their own insights more effectively. (yes I wrote this post and created this diagram with Claude Sonnet 3.5 :-P mostly)
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AI hallucinations are more than just technical glitches—they highlight critical areas for improvement in AI systems. ?? Our latest article uncovers how biases and limitations in AI models lead to these inaccuracies. At Persado, we're dedicated to advancing AI by refining data and algorithms to combat these issues. Dive into our insights on enhancing AI reliability and accuracy. #ArtificialIntelligence #AIChallenges #TechInnovation #AIAccuracy #Persado Explore the full article: https://bit.ly/3Hii6sc
Risks From AI Hallucinations and How to Avoid Them | Persado
https://www.persado.com
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