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Presentation Ideas from Real Visitor Prompts
Browse eligible slide decks shared by FreeSlide visitors, study the original prompts, and adapt an idea into your own deck.
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БАЙЫРКЫ ИНДИЯ ЖОНУНДО КЕНЕЕН ТУЗ
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