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AI Prompt Library

This library provides a curated collection of prompts for different AI modalities and use cases. Each section includes example prompts, best practices, and guidance for optimal results.

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Text-to-Text Reasoning

Text-to-text reasoning involves generating meaningful textual responses based on input text. 
// Example prompt template
Analyze the following text and provide a detailed response:
[Input Text]

Consider the following aspects:
- Key themes and concepts
- Logical connections
- Supporting evidence
- Potential implications

Provide a structured analysis addressing these points.

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Text-to-Video Generation

Transform textual descriptions into dynamic video content. 
// Example prompt template
Generate a video based on the following description:
[Scene Description]

Specifications:
- Duration: [Defaults to 6 seconds]
- Style: [visual style]
- Key elements: [list important elements]
- Motion: [describe movement/transitions]
- Atmosphere: [describe mood/tone]

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Image-to-Video Generation

Create video content from static images. 
// Example prompt template
Transform this image into a video sequence:
[Image Input]

Parameters:
- Animation style: [specify style]
- Duration: [Defaults to 6 seconds]
- Motion path: [describe movement]
- Transition effects: [specify effects]
- Additional elements: [describe any additions]

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Text-to-Image Generation

Generate visual content from textual descriptions. 
// Example prompt template
Create an image based on this description:
[Detailed Description]

Specifications:
- Style: [artistic style]
- Composition: [layout details]
- Color scheme: [color preferences]
- Lighting: [lighting conditions]
- Focus elements: [key subjects]

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Image-to-Text Understanding

Extract meaningful descriptions and insights from images. 
// Example prompt template
Analyze this image and provide:
[Image Input]

1. Detailed description
2. Key elements identified
3. Context analysis
4. Relevant attributes
5. Emotional tone/mood

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Video-to-Text Understanding

Convert video content into detailed textual descriptions. 
// Example prompt template
Analyze this video sequence and provide:
[Video Input]

Generate:
1. Scene-by-scene description
2. Action sequence analysis
3. Key event timeline
4. Character/object tracking
5. Environmental context

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Text-to-Sound Effects (SFX) Generation

Create appropriate sound effects based on textual descriptions. 
// Example prompt template
[Scene/Action Description]

Parameters:
- Sound type: [specify type]
- Duration: [length]
- Intensity: [level]
- Environmental context: [setting]
- Timing: [synchronization points]

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Text-to-Music Generation

Transform textual descriptions into musical compositions. 
// Example prompt template
Create music based on:
[Description/Mood/Style]

Specifications:
- Genre: [specify genre]
- Tempo: [specify BPM]
- Mood: [emotional tone]
- Instruments: [specify instruments]
- Duration: [length]

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Text-to-Speech Generation

Convert text into natural-sounding speech. 
// Example prompt template
Convert this text to speech:
[Input Text]

Voice parameters:
- Voice type: [specify voice]
- Speaking rate: [speed]
- Pitch: [level]
- Emotion: [tone]
- Emphasis points: [specify words]

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Timed Text Transcription (Captions)

Generate accurate, timed captions for media content. 
// Example prompt template
Create timed captions for:
[Media Input]

Requirements:
- Timing accuracy: [precision level]
- Format: [caption format]
- Speaker identification: [if needed]
- Non-speech elements: [sound descriptions]
- Language: [specify language]

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Real-time Multilingual Voice Translation and Transcription

Perform simultaneous translation and transcription of spoken content. 
// Example prompt template
Process speech for translation:
[Audio Input]

Settings:
- Source language: [specify]
- Target language(s): [specify]
- Output format: [format type]
- Speaker tracking: [enabled/disabled]
- Cultural adaptation: [level]

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Best Practices

  1. Be Specific: Include detailed parameters and requirements in your prompts
  2. Use Context: Provide relevant background information when needed
  3. Set Clear Constraints: Define boundaries and limitations
  4. Include Examples: When possible, reference desired output styles
  5. Iterate: Refine prompts based on results for optimal output

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Tips for Optimal Results

  • Test prompts with various inputs to ensure consistency
  • Maintain clear and structured prompt formatting
  • Include error handling and fallback options
  • Consider performance implications and resource usage
  • Document successful prompt patterns for future reference
This prompt library serves as a starting point for implementing AI capabilities across different modalities. Adapt and customize these templates based on your specific use case and requirements.