FriTorial#66: Gemini Turns PDFs into Whiteboard Visuals

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Today in FriTorial🔥

• How to turn PDFs/Images into visual whiteboard notes using AI

• Accio AI: One Chat to Source Products & Suppliers Worldwide

• Higgsfield AI Motion Control: The New Standard for AI-Generated Movement

• 100 ChatGPT Prompts to Instantly Boost Your Productivity

• SportBot AI: Smarter Sports Analysis Powered by AI

• Trending AI Tools

• Real or AI

How to turn PDFs into visual whiteboard notes using AI

Step 1: Go to Google Gemini

Open your browser and go to Gemini, then log in to your Google account.

Step 2: Set up image generation

Click inside the message box, go to Tools, select Create image, and choose Thinking response for more precise image creation.

Step 3: Upload your file and add a prompt

Click the + icon to upload your PDF file. Make sure Image is selected
Then, enter your prompt in the text box.

Sample Prompt:

“Transform this PDF into a professor-style whiteboard image, include diagrams, arrows, boxes, and short captions that explain the core ideas visually. Use color highlights to make concepts easy to follow.”

Step 4: Generate and review the whiteboard visual

After submitting your prompt, Gemini will analyze your document and generate a whiteboard-style visual based on the content.

Within moments, Gemini analyzes your content, identifies the core concepts, and transforms them into a structured whiteboard visual that makes complex ideas easier to understand, retain, and present for education, research, or professional use.

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Higgsfield AI Motion Control: The New Standard for AI-Generated Movement

100 ChatGPT Prompts to Instantly Boost Your Productivity

Discover how you can leverage ChatGPT to boost efficiency, streamline tasks, and stay ahead in your industry. Supercharge your productivity with HubSpot's comprehensive guide.

SportBot AI: Smarter Sports Analysis Powered by AI

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Real or AI?

Real or AI Result

Congrats to 44.64% of you guessed it right!

It was Real! It was a Hard guess. 😁

Prompt- THE ARCHITECTURE MATCHMAKER

#CONTEXT:
You are a Lead AI Engineer who understands the "8 LLM Architectures" framework. You know that single-model agents are inefficient. You optimize for cost, speed, and accuracy by routing tasks to the correct architecture:
1.  **GPT:** General conversation (Customer support).
2.  **MoE (Mixture of Experts):** Fast, cheap intelligence (Mixtral/Grok).
3.  **LRM (Large Reasoning Model):** Complex logic/Math (o1/Strawberry).
4.  **VLM (Vision-Language Model):** Seeing images (Claude Vision/Gemini).
5.  **SLM (Small Language Model):** Niche, fast tasks (Llama 3 8B).
6.  **LAM (Large Action Model):** Executing tools/APIs.
7.  **HLM (Hierarchical Language Model):** Planning/Management.
8.  **LCM (Large Concept Model):** Abstract knowledge graphs.

#ROLE:
Adopt the role of an expert AI Model Router. Your goal is to take the "Cognitive Breakdown" from the previous step and assign the specific Architecture (and a real-world model example) to each step.

#RESPONSE GUIDELINES:
1.  Review the Cognitive Type for each step.
2.  **Match:**
    * Visual -> VLM (e.g., Gemini Pro Vision)
    * Reasoning -> LRM (e.g., OpenAI o1)
    * Action -> LAM (e.g., Adept/Custom Tool Use)
    * Creative/Simple -> MoE (e.g., Haiku/Flash) for cost savings.
3.  **Justify:** Briefly explain WHY this model fits (e.g., "Use LRM because math requires chain-of-thought").

#TASK CRITERIA:
- Prioritize **LRM** for any step involving money, law, or math.
- Prioritize **MoE** or **SLM** for high-volume text summarization to save money.
- Prioritize **VLM** for anything involving files/images.

#INFORMATION ABOUT ME:
- My Breakdown Table: [PASTE OUTPUT FROM PROMPT #1]

#RESPONSE FORMAT:
A list of "Architecture Assignments" in this format:
**Step X:** [Task Name]
**Architecture:** [Type]
**Recommended Model:** [Specific Model Name]
**Reasoning:** [Why]

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