AI Text Playground

An interactive environment for experimenting with AI-powered text generation, tokenization, and natural language processing. Perfect for understanding how modern language models work and exploring creative writing applications.

Features

Text Generation Models

• GPT-style completion: Autocomplete your text prompts
• Creative writing: Generate stories, poems, and creative content
• Code generation: AI-assisted programming and documentation
• Translation: Multi-language text translation
• Summarization: Automatic text summarization

Interactive Controls

• Temperature slider: Control creativity vs. coherence
• Max tokens: Limit response length
• Top-p sampling: Nucleus sampling parameter
• Frequency penalty: Reduce repetitive content
• Presence penalty: Encourage topic diversity

How It Works

The playground demonstrates various AI text processing techniques:

Tokenization Visualization

interface Token {
  text: string
  id: number
  probability: number
  type: 'word' | 'subword' | 'special'
}

function visualizeTokenization(text: string): Token[] {
  const tokens = tokenizer.encode(text)
  return tokens.map(tokenId => ({
    text: tokenizer.decode([tokenId]),
    id: tokenId,
    probability: getTokenProbability(tokenId),
    type: classifyToken(tokenId)
  }))
}

Temperature Effects

See how temperature affects generation:

• Low (0.1-0.3): Deterministic, coherent output
• Medium (0.4-0.7): Balanced creativity and coherence
• High (0.8-1.0): Creative, unpredictable output

Interactive Examples

Story Generation

Start with a prompt and watch AI continue your story:

Prompt: "In a world where gravity works backwards..."
AI: "...people built their cities hanging from the clouds,
with elaborate anchor systems preventing them from
floating away into the endless blue above."

Code Assistant

Get AI help with programming challenges:

// Prompt: "Create a function to debounce API calls"
function debounce<T extends (...args: any[]) => any>(
  func: T,
  delay: number
): (...args: Parameters<T>) => void {
  let timeoutId: NodeJS.Timeout

  return (...args: Parameters<T>) => {
    clearTimeout(timeoutId)
    timeoutId = setTimeout(() => func(...args), delay)
  }
}

Poetry Generator

Experiment with different poetic styles:

• Haiku: Traditional 5-7-5 syllable structure
• Sonnet: 14-line Shakespearean form
• Free verse: Unstructured creative expression
• Limerick: Humorous AABBA rhyme scheme

Technical Implementation

Model Integration

class AITextGenerator {
  private model: LanguageModel
  private tokenizer: Tokenizer

  async generate(prompt: string, options: GenerationOptions): Promise<string> {
    const tokens = this.tokenizer.encode(prompt)
    const generated = await this.model.generate(tokens, {
      temperature: options.temperature,
      maxTokens: options.maxTokens,
      topP: options.topP,
      frequencyPenalty: options.frequencyPenalty
    })

    return this.tokenizer.decode(generated)
  }

  getTokenProbabilities(text: string): TokenProbability[] {
    const tokens = this.tokenizer.encode(text)
    return tokens.map(token => ({
      token: this.tokenizer.decode([token]),
      probability: this.model.getTokenProbability(token),
      logProbability: Math.log(this.model.getTokenProbability(token))
    }))
  }
}

Real-time Visualization

• Token highlighting: See which tokens are generated
• Probability heatmaps: Visualize model confidence
• Attention patterns: Understand model focus
• Generation tree: Explore alternative continuations

Educational Applications

Understanding Language Models

• Tokenization: How text is broken down for processing
• Attention mechanisms: What the model "pays attention" to
• Context windows: Limitations of model memory
• Fine-tuning effects: How training data influences output

Creative Writing Tools

• Writer's block: Get inspiration for story continuation
• Style mimicry: Generate text in specific author styles
• Character dialogue: Create realistic character conversations
• World building: Generate descriptions of fictional worlds

Programming Assistance

• Code explanation: Understand complex algorithms
• Documentation generation: Auto-generate code documentation
• Bug fixing: Get suggestions for fixing code issues
• Architecture planning: Brainstorm system design approaches

Interactive Experiments

Prompt Engineering Workshop

Learn effective prompting techniques:

1. Specificity: How detailed prompts affect output quality
2. Context setting: Providing background information
3. Format specification: Controlling output structure
4. Chain-of-thought: Encouraging step-by-step reasoning

Model Comparison

Compare outputs from different model configurations:

• Small vs. Large models: Trade-offs between speed and quality
• Different training data: How training affects style and knowledge
• Fine-tuned models: Specialized vs. general-purpose models

Bias Detection

Explore and understand model biases:

• Gender bias: Analyze gendered language patterns
• Cultural bias: Examine cultural assumptions in outputs
• Professional bias: Career and role stereotypes
• Mitigation strategies: Techniques for reducing bias

Use Cases

Content Creation

• Blog post ideation and drafting
• Social media content generation
• Marketing copy and taglines
• Product descriptions

Education & Research

• Language learning assistance
• Research paper summarization
• Academic writing support
• Concept explanation

Programming

• Code documentation generation
• Algorithm explanation
• Code review assistance
• API usage examples

Creative Projects

• Interactive fiction development
• Character backstory generation
• Plot twist ideation
• Dialogue polishing

Getting Started

1. Choose an experiment type from the available options
2. Enter your prompt in the text area
3. Adjust generation parameters using the control panel
4. Generate and explore different outputs
5. Analyze the results using visualization tools
6. Export or save interesting generations

The playground includes safety filters and content moderation to ensure appropriate outputs while maintaining the educational and creative value of AI text generation experiments.

Perfect for writers, developers, researchers, and anyone curious about how modern AI language models work and can be applied creatively.