What's New in
Rij AI

// Initialize voice model with custom architecture
const voiceModel = new RijVoiceModel({
  architecture: 'transformer-xl',
  dimensions: {
    hidden: 1024,
    heads: 16,
    layers: 24
  },
  tokenizer: 'byte-level-bpe'
});

// Train on high-quality voice dataset
await voiceModel.train({
  dataset: voiceDataset,
  config: {
    batchSize: 32,
    epochs: 100,
    learningRate: 1e-4,
    scheduler: 'cosine',
    warmupSteps: 1000,
    weightDecay: 0.01
  },
  augmentation: {
    pitchShift: [-2, 2],
    timeStretch: [0.9, 1.1],
    addNoise: 0.1
  }
});

// Generate speech with emotion and style control
const speech = await voiceModel.generate({
  text: inputText,
  voice: {
    timbre: 'warm',
    clarity: 0.9,
    expressiveness: 0.8
  },
  emotion: {
    type: 'friendly',
    intensity: 0.7
  },
  prosody: {
    pitch: 1.2,
    speed: 1.0,
    energy: 0.85
  }
});

// Define custom OCR model architecture
const ocrModel = new RijVisionModel({
  backbone: 'efficientnet-v2',
  neck: 'fpn',
  head: 'transformer',
  config: {
    imageSize: [768, 768],
    channels: 3,
    patchSize: 16
  }
});

// Train on diverse handwriting dataset
await ocrModel.train({
  dataset: handwritingDataset,
  augmentation: {
    geometric: {
      rotate: [-15, 15],
      scale: [0.8, 1.2],
      shear: [-10, 10]
    },
    photometric: {
      brightness: 0.2,
      contrast: 0.2,
      noise: 0.1
    }
  },
  training: {
    optimizer: 'adamw',
    scheduler: 'one_cycle',
    epochs: 200,
    mixedPrecision: true,
    gradientClipping: 1.0
  }
});

// Advanced text recognition with style analysis
const result = await ocrModel.analyze({
  image: inputImage,
  tasks: ['text', 'style', 'language'],
  enhancement: {
    denoising: true,
    superResolution: true,
    deskewing: true
  }
});

// Initialize reasoning engine
const reasoner = new RijReasoner({
  model: 'deepseek-v2',
  temperature: 0.7,
  maxSteps: 5
});

// Break down complex problem
const steps = await reasoner.analyze({
  question: userQuery,
  context: relevantData,
  requireExplanation: true
});

// Generate structured response
const response = await reasoner.synthesize({
  steps,
  format: 'markdown',
  style: 'detailed'
});

// Configure summarization model
const summarizer = new RijSummarizer({
  model: 'neural-v3',
  style: 'concise',
  maxLength: 500
});

// Generate multi-level summary
const summary = await summarizer.process({
  text: document,
  levels: {
    brief: { words: 100 },
    detailed: { words: 300 },
    comprehensive: { words: 500 }
  },
  extractKeyPoints: true
});

// Custom focus areas
const topicSummary = await summarizer.focus({
  text: document,
  topics: ['technology', 'impact'],
  depth: 'detailed'
});