Presentation Ideas from Real Visitor Prompts

БАЙЫРКЫ ИНДИЯ

Erstelle eine professionelle PowerPoint-Präsentation auf Deutsch über ein aktuelles politisches Weltgeschehen. Thema: Der Ukraine-Krieg und seine Auswirkungen auf die internationale Politik im Jahr 2026. Die Präsentation soll für eine Schulpräsentation in der Oberstufe geeignet sein und etwa 8–10 Minuten dauern. Erstelle 10 übersichtliche Folien: 1. Titel: Der Ukraine-Krieg – aktuelle Entwicklungen und Folgen für die Weltpolitik 2. Kurze Einführung: Worum geht es? 3. Hintergrund und Beginn des Krieges 4. Die aktuelle Situation im Jahr 2026 5. Die wichtigsten Akteure: Ukraine, Russland, USA und Europäische Union 6. Internationale Reaktionen und Sanktionen 7. Auswirkungen auf Europa und Deutschland 8. Wirtschaftliche und gesellschaftliche Folgen 9. Diplomatische Bemühungen und mögliche Friedensverhandlungen 10. Fazit und wichtigste Erkenntnisse Wichtig: - Verwende aktuelle und überprüfbare Informationen aus dem Jahr 2026. - Bleibe politisch neutral und stelle unterschiedliche Positionen sachlich dar. - Verwende kurze Stichpunkte und keine langen Textblöcke. - Nutze passende Bilder, Karten, Zeitleisten und einfache Grafiken. - Gestalte die Präsentation modern, seriös und übersichtlich. - Verwende einheitliche Farben und Schriftarten. - Füge am Ende eine Quellenangabe hinzu. - Nutze möglichst seriöse Quellen wie Reuters, BBC, UN, EU und offizielle Regierungsseiten. - Schreibe die Präsentation vollständig auf Deutsch.

Crea una presentación en base a Dark Botanical Style, usando solamente la información del capítulo 905 de la farmacopea USP 42, incluye gráficos y o tablas de ser necesario, no solo párrafos completos en las diapositivas, colores morados o magenta, unas 20 diapositivas o menos

Presentation should focus on management of arrhythmias including definition, clasiification , etiology , mechanisms of arrhythmias , diagnosis and associated ECG tracing and treatment of arrhythmias

Travel • Lifestyle • Weekly Vlogs • Real Moments A make precision and write and make the first 10 videos

Travel • Lifestyle • Weekly Vlogs • Real Moments A YouTube Channel Concept make presstsison and write nad make firsat 10 videos

1. What is a token? Visual: A sentence breaking into colored chips. Caption: A token is a chunk of text a model processes. It might be a whole word, part of a word, punctuation, or whitespace. Tokens are not the same as words, and the same text can split differently across models. openai.com 2. Base prompt Prompt card: Hello, world! Token chips: [Hello] [,] [ world] [!] (illustrative split only) Count: B = tokenizer count for “Hello, world!” Callout: B tokens = 1× baseline 3. Add a language instruction Prompt card: Hello, world! Respond in JavaScript. Count: J = tokenizer count for the full prompt J ÷ B × = relative size Caption: The instruction adds text, so the prompt generally has more tokens. The exact count depends on the tokenizer and wording. 4. Change the language in a follow-up First prompt: Hello, world! Respond in JavaScript. → J tokens Follow-up prompt: Change the example to TypeScript. → F tokens Conversation total: J + F = total input tokens sent across both turns* Cost-multiple display: (J + F) ÷ B × = conversation size vs. baseline Small print: `*If the app resends conversation history, the second request may also include earlier messages. Check actual usage; chat structure can add tokens beyond plain text.` openai.com 5. From tokens to credits Visual: Token chips flow into a meter labeled “credits.” Caption: A “credit” is a vendor-defined billing unit—not a universal token amount. There is no meaningful company-agnostic average. Check the specific vendor’s credit definition, model, and whether input, output, cached, or reasoning tokens are treated differently. openai.com Accuracy note: The illustrative chip split is not a verified tokenizer output. To publish exact counts and multiples, choose a specific model/tokenizer, enter each complete prompt into its tokenizer, and calculate ratios from those measured counts. Also clarify whether “Hello world” means Hello, world! or another exact string. the entire presentation is one slide

1. What is a token? Visual: A sentence breaking into colored chips. Caption: A token is a chunk of text a model processes. It might be a whole word, part of a word, punctuation, or whitespace. Tokens are not the same as words, and the same text can split differently across models. openai.com 2. Base prompt Prompt card: Hello, world! Token chips: [Hello] [,] [ world] [!] (illustrative split only) Count: B = tokenizer count for “Hello, world!” Callout: B tokens = 1× baseline 3. Add a language instruction Prompt card: Hello, world! Respond in JavaScript. Count: J = tokenizer count for the full prompt J ÷ B × = relative size Caption: The instruction adds text, so the prompt generally has more tokens. The exact count depends on the tokenizer and wording. 4. Change the language in a follow-up First prompt: Hello, world! Respond in JavaScript. → J tokens Follow-up prompt: Change the example to TypeScript. → F tokens Conversation total: J + F = total input tokens sent across both turns* Cost-multiple display: (J + F) ÷ B × = conversation size vs. baseline Small print: `*If the app resends conversation history, the second request may also include earlier messages. Check actual usage; chat structure can add tokens beyond plain text.` openai.com 5. From tokens to credits Visual: Token chips flow into a meter labeled “credits.” Caption: A “credit” is a vendor-defined billing unit—not a universal token amount. There is no meaningful company-agnostic average. Check the specific vendor’s credit definition, model, and whether input, output, cached, or reasoning tokens are treated differently. openai.com Accuracy note: The illustrative chip split is not a verified tokenizer output. To publish exact counts and multiples, choose a specific model/tokenizer, enter each complete prompt into its tokenizer, and calculate ratios from those measured counts. Also clarify whether “Hello world” means Hello, world! or another exact string. infographic is one single slide

1. What is a token? Visual: A sentence breaking into colored chips. Caption: A token is a chunk of text a model processes. It might be a whole word, part of a word, punctuation, or whitespace. Tokens are not the same as words, and the same text can split differently across models. openai.com 2. Base prompt Prompt card: Hello, world! Token chips: [Hello] [,] [ world] [!] (illustrative split only) Count: B = tokenizer count for “Hello, world!” Callout: B tokens = 1× baseline 3. Add a language instruction Prompt card: Hello, world! Respond in JavaScript. Count: J = tokenizer count for the full prompt J ÷ B × = relative size Caption: The instruction adds text, so the prompt generally has more tokens. The exact count depends on the tokenizer and wording. 4. Change the language in a follow-up First prompt: Hello, world! Respond in JavaScript. → J tokens Follow-up prompt: Change the example to TypeScript. → F tokens Conversation total: J + F = total input tokens sent across both turns* Cost-multiple display: (J + F) ÷ B × = conversation size vs. baseline Small print: `*If the app resends conversation history, the second request may also include earlier messages. Check actual usage; chat structure can add tokens beyond plain text.` openai.com 5. From tokens to credits Visual: Token chips flow into a meter labeled “credits.” Caption: A “credit” is a vendor-defined billing unit—not a universal token amount. There is no meaningful company-agnostic average. Check the specific vendor’s credit definition, model, and whether input, output, cached, or reasoning tokens are treated differently. openai.com Accuracy note: The illustrative chip split is not a verified tokenizer output. To publish exact counts and multiples, choose a specific model/tokenizer, enter each complete prompt into its tokenizer, and calculate ratios from those measured counts. Also clarify whether “Hello world” means Hello, world! or another exact string.

Make presation about cars Make it 30 slides

Make presation about F1. and cars Make it 30 slides

Make presation about F1 make it 30 sliles

Make presation about F1

Make a tour, entrepreneur edge pod ast it is about business, work ambition, make it a 20-slide concept

Make a podcast, entrepreneur edge it is about business, work ambition make it 20 slies tour concept

padaryk senovinio kauno skaidres lietuvos kauno seno 20skaidriu su foto su nuotraukom

padaryk senovinio kauno skaidres lietuvos kauno seno 20skaidriu su foto

padaryk senovinio kauno skaidres lietuvos kauno

padaryk senovinio kauno skaidres

create presentation in unique with attractive that many people dont no some information create it in attractive way unique create feom welcom e page to end thank you page with 6-8 pages on wifi

build a presentation on the topic of CRISPR AND GENE EDITING

reate a 12–14 slide PowerPoint presentation on “Cybersecurity, Personal Data & Online Identity” for students. Use simple language, attractive cybersecurity-themed visuals, icons, diagrams, and a modern dark blue/cyan design. Cover these topics: What Is Cybersecurity? Protecting Your Personal Data Your Online Identity Your Data Where Is Your Data? What’s More? — cookies, browsing history, location and app data Smart Devices What Do Hackers Want? Identity Theft Who Else Wants My Data? How to Stay Safe Online A real-life phishing/identity-theft example Conclusion

make ppt about International Portfolio Diversification, use medium body text, 19 slides these are the learning outcomes: a. Explain the concepts, principles, benefits, and risks of international portfolio diversification in managing investment risk and return. b. Analyze international securities and markets based on risk, return, currency movements, economic conditions, and market correlations. c. Evaluate international diversification strategies and recommend an appropriate portfolio allocation to improve risk-adjusted returns. use the relevant reference: 1. CFA Institute. (2021). Portfolio management in practice, volume 1: Investment management. John Wiley & Sons. 2. Frank Reilly. (2018). Investment Analysis & Portfolio Management. Cengage. 3. Michael Dempsey. (2020). Investment analysis : an introduction to portfolio theory and management. Abingdon, Oxon ; New York, NY. 4. Raj S. Dhankar. (2019). Risk-Return Relationship and Portfolio Management. Springer India. 5. Stewart, S. D., Piros, C. D., & Heisler, J. C. (2019). Portfolio management: Theory and practice. John Wiley & Sons. 6. Te Wu; Panos Chatzipanos. (2018). Implementing Project Portfolio Management. Project Management Institute

Create a professional 10–12 slide science/innovation competition presentation for Class 9 on “GrainGuard — An Intelligent, Low-Cost, Multi-Parameter Grain Preservation & Early-Warning System.” Explain grain spoilage caused by moisture, humidity, temperature changes, localized heating and biological activity. Present GrainGuard as a smart system using an ESP32/microcontroller, temperature sensors, grain-moisture sensor, humidity sensor, optional CO₂ sensor, OLED display, RGB/status LEDs, buzzer, push button, power supply, protective enclosure and optional multiple sensing points. Show how sensor data is analysed for abnormal conditions and trends, producing SAFE/WARNING/CRITICAL alerts. Include the Grain Health Score concept, hot-spot detection, system workflow, advantages over fragmented monitoring, target users, business model, social impact, testing, limitations and future roadmap with IoT, solar power and AI-based prediction. Make it visually impressive, modern, concise and judge-friendly, using diagrams, icons and a clear system-flow graphic. Avoid exaggerated claims. Emphasize integration, early warning, affordability and practical farmer use. Tagline: “Sense the change. Understand the risk. Preserve the grain.”