Prompt Engineering

🗞️ The Tech Issue | October 5, 2023

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☕️ Greetings! It's Thursday, October 5th. Welcome back to my daily dive into the AI landscape.

♨️ Prompt engineering is the new buzz in town as generative AI becomes mainstream in business. It's not just about throwing words at a model; it's about crafting the right questions to get ace results. This skill is so vital that it can make or break your AI's performance. Top performers in businesses saw a 17% productivity hike, and even the underdogs gained a 43% increase, all thanks to Gen AI. But it's not a one-size-fits-all. Training your team to be savvy prompt engineers is the next big move.

🗞️ Today’s Highlights:

  • LATEST NEWS & TRENDS — What Generative AI mean for energy companies?

  • INDUSTRY | FUNCTION — Leveraging Generative AI for Public Affairs: a hands-on guide

  • RESOURCES — 10 Best AI Presentation Generators in September 2023

  • WORK — Master these skills for a rewarding career in the modern workplace

  • GEN AI USE CASES — 40 ChatGPT Use Cases in 2023

  • CHARTS — The Generative AI Life-cycle

Read The Information first…or them later

The Information’s journalists get the news that other newsrooms envy. That’s why their reporting on tech, media and finance has been followed by the New York Times, Bloomberg, the Wall Street Journal and dozens of other outlets more than 400 times in the last year.

🗞️ LATEST NEWS & TRENDS

1️⃣ According to Accenture, a whopping 87% of energy execs are rethinking their long-term strategy because of GenAI's impact. The tech not only speeds up data analysis but also significantly augments workforce capabilities. Companies are actively exploring ways to integrate AI into daily operations. It's democratizing tech and lowering entry barriers, making AI more accessible than ever. Shell, for example, is using it for sub-surface imaging.

2️⃣ Bain's research advises Hollywood: don't swap out artists for AI but leverage tech for cost and time efficiency. Creative minds are irreplaceable for quality content, but generative AI and game engines can be game-changers for production. Two tips: Protect your creatives and harness new tech to make creativity soar. The advice is spiced up with real-world scenarios, showing how smart tech use can trim budgets by up to 20% and accelerate movie releases. So, it's a win-win: more creativity, less cost.

3️⃣ Navigating the AI universe can be dizzying, with terms like AI, ML, LLMs, and Generative AI often confusing newcomers. Here's the skinny: AI is the big umbrella—machines mimicking human smarts. ML is a piece of that, where systems learn from data. Generative AI is another slice, focusing on creating new content like text or images. And LLMs? Think of them as specialized AI trained to generate human-like text. Each has its own place and purpose in the techie toolbelt.

4️⃣ AI is rocketing our understanding of the cosmos to new heights. From NASA's special AI research group to self-reliant space rovers, AI technologies are critical in modern space exploration. They excel at tricky tasks like navigating tough terrains and managing resources efficiently. Plus, AI algorithms sift through mountains of data for groundbreaking discoveries, monitor astronauts' health in real time, and even find potential exoplanets. So, AI isn't just rocket science; it's making rocket science smarter, cheaper, and more exciting. The 10 use cases of AI in space are as follows:

  1. Mission Planning and Decision Making

  2. Resource Utilization

  3. Space Debris Management

  4. Satellite Maintenance and Repair

  5. Autonomous Rovers

  6. Data Analysis

  7. Trajectory Optimization

  8. Robotics

  9. Medical Monitoring of Astronauts

  10. Exoplanet Exploration

5️⃣ Google Bard is stepping up its game in the AI hustle, trying to catch up with industry leaders like ChatGPT. With unique features like web-sourced info and multi-language support, Bard aims to be the go-to AI tool. However, it's not all roses—recent legal and ethical challenges, like spreading misinformation and questionable data practices, have drawn attention from authorities like the White House. So, Bard's future is still a mixed bag.

🗞️ INDUSTRY | FUNCTION

The article unpacks the rising role of generative AI in public affairs, shedding light on its complexities and opportunities. From simulations to policy papers, AI is inching closer to becoming a game-changer. Yet, it's not just about machines taking over; it's about reshaping the skill sets of professionals for a collaborative future with AI. The rapid evolution of these tools challenges us to adapt and not just spectate. It's more "us with AI" than "us versus AI."

🗞️ RESOURCES

AI-driven presentation generators are transforming the way we craft and deliver presentations. These tools harness artificial intelligence to streamline the creation process, enhance visual aesthetics, and elevate audience engagement. Below, we explore the top 10 AI presentation generators poised to enhance your next presentation:

  1. Plus AI: Utilizes Generative AI in Google Slides, offering AI-powered suggestions for quick slide creation and easy editing.

  2. Beautiful.ai: A smart assistant that anticipates user needs and adds a voice narration feature for engaging presentations.

  3. Slidebean: Separates content creation from slide design, enabling even non-designers to create professional-looking slides.

  4. Tome: Collaborative AI assistant powered by ChatGPT and DALL-E 2, offering ready-made templates and content generation.

  5. Synthesia: Features a user-friendly interface, personalized AI avatars, and professionally designed video templates.

  6. Simplified: Designed for team collaboration, allows real-time edits, customization, and conversion of slides into videos.

  7. Sendsteps: Offers a drag-and-drop interface, interactive elements, and multilingual support for engaging presentations.

  8. Prezi: Transforms slides into captivating narratives, though customization options may be limited.

  9. Visme: User-friendly with 50+ customizable templates, graphic assets, and widgets for impressive presentations.

  10. Kroma: Used by large organizations, provides access to creative assets and data visualization, and integrates with MS PowerPoint and Keynote.

🗞️ WORK

Navigating the modern tech-centric workspace? Arm yourself with the must-have skills that'll make you indispensable. From data modeling and big data analytics to AI tools and cybersecurity, mastering these proficiencies is a golden ticket to career longevity. And it's not all just hard skills—soft skills like presentation and email etiquette also carry weight. As tech and AI continue to reshape industries, staying ahead of the curve is your best defense against automation. So, whether it's Power BI or advanced Excel, make sure you're tooled up and future-ready!

🗞️ GEN AI USE CASES

You're probably wondering if ChatGPT is the tech-savvy buddy your business needs. Absolutely! This AI is a Swiss Army knife for any modern business. Think of it like your multi-talented intern who never sleeps: crafting killer content, debugging code, and even helping teachers grade papers. And if you're in marketing or SEO, it's like hiring a full creative agency. From customer service to generating meta descriptions, it's the kind of tech that can turn your company into an efficiency powerhouse.

  1. Content Creation: Generate high-quality content across various platforms, encompassing blogs, product descriptions, and social media.

  2. Translation: Automate language translation for documents and messages.

  3. Conversational AI: Create intelligent chatbots for customer support and sales.

  4. Code Writing: Automate basic coding tasks and write snippets.

  5. Debugging Assistance: Offer probable solutions and root causes for coding errors.

  6. Code Completion: Assist in real-time code generation based on context.

  7. Code Refactoring: Recommend ways to optimize and streamline existing code.

  8. Code Documentation: Suggest relevant documentation templates based on programming languages.

  9. Code Snippets Generation: Produce code examples for different languages and functionalities.

  10. Code Concept Explanation: Educate on programming methods, syntax, and structures.

  11. Course Content Creation: Help educators design lesson plans and curricula.

  12. Grammar and Writing Check: Proofread and enhance written work for educational purposes.

  13. Grading Assistance: Evaluate and provide feedback on student essays.

  14. Syllabus Design: Aid in the creation and organization of course outlines.

  15. Homework Assistance: Support students in problem-solving and question-answering.

  16. Research Aid: Guide in topic selection, resource identification, and research organization.

  17. Language Learning: Offer translation, vocabulary, and conversational exercises.

  18. Content Marketing: Generate content for advertising and branding efforts.

  19. Customer Experience Personalization: Leverage NLP for tailored marketing strategies.

  20. Audience Research: Analyze customer data to inform marketing approaches.

  21. Product Description Writing: Craft engaging and relevant product text.

  22. Marketing Chatbot: Implement a customer support and inquiry chatbot.

  23. Customer Survey Design: Assist in creating, structuring, and analyzing surveys.

  24. SEO Topic Generation: Propose relevant topics for search engine-optimized content.

  25. Keyword Research: Identify trending and relevant search terms.

  26. SEO Title Crafting: Generate search engine-friendly titles for content.

  27. Search Intent Grouping: Categorize search queries based on user intent.

  28. Content Structuring: Suggest SEO-friendly content outlines and organization.

  29. Meta Description Creation: Write concise and engaging meta descriptions.

  30. Sitemap Code Generation: Automate the creation of XML sitemaps for websites.

  31. Multilingual Customer Support: Provide customer service in various languages.

  32. Personalized Customer Responses: Tailor customer service interactions based on data.

  33. Financial Forecasting: Leverage data analysis for predictive financial modeling.

  34. Trend Analysis: Spot market trends using data analysis capabilities.

  35. Sentiment Analysis: Assess customer sentiment through reviews and feedback.

  36. Email Automation: Personalize and automate email marketing campaigns.

  37. Social Media Monitoring: Keep track of brand mentions and public opinion.

  38. Crisis Prediction: Identify early signals of potential operational disruptions.

  39. FAQ Automation: Self-update Frequently Asked Questions based on user interactions.

  40. Community Engagement: Moderate and engage in forums and social communities to maintain brand reputation.

Disclaimer: 1) The tool descriptions are from the company behind each tool/app. 2) Please read the site details thoroughly before using and/or acquiring any of the tools listed above. We have not tested these tools and we will not be liable for anything.

🗞️ CHARTS

 👀 The AI/ML lifecycle covers everything from data collection to deployment, but things get trickier with Generative AI. To make things work in the enterprise setting, tweaking the standard ML lifecycle is required. This article by Ali Arsanjani covers things like AI safety and misuse mitigation. Click here to learn what it takes to integrate GenAI responsibly into business operations.

Reference/Credit: Ali Arsanjani (The Generative AI Life-cycle)

The Generative AI scene is booming, but don't get too comfy; a shakeup is coming. Tons of new apps are popping up—especially for content creation and writing—but they can't all stick around. The survivors will be those with killer unique features and top-notch user experience. Also, watch out for Build Frameworks; they're the new kids on the block with a ton of growth potential. Think of them as the future toolbox for AI, letting you do all sorts of advanced stuff. Keep an eye out!

Disclaimer: The audio-visual content is courtesy of the source provided above.

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I'm not a newsletter expert so you might find my approach a tad different. In my daily dives into the world of AI, I handpick the latest gems, initially to support the AI projects that I’m working on. Realizing that these snippets might resonate with others, I thought, "Why not share this with my community and fellow AI enthusiasts?" I truly want this newsletter to be valuable to you so if there's anything on your mind—praises, critiques, or just a hello—please drop me a note. You can hit reply or shoot me a message directly at my email address: [email protected].

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