Text Generation Tutorial
Learn how to generate high-quality text using Lumia AI models.
Step 1: Initial Setup
Setting up your project with Lumia AI
Install the required dependencies:
npm install @ai-sdk/LumiaImport the necessary modules:
import { generateText } from '@ai-sdk/Lumia';
import { Lumia } from '@ai-sdk/Lumia';Step 2: Basic Text Generation
Generate your first AI response
Create a basic text generation function:
async function generateBasicText() {
try {
const { text } = await generateText({
model: Lumia('Lumia-V2-Pro'),
prompt: 'Write a short story about AI',
system: 'You are a creative writer.'
});
console.log(text);
} catch (error) {
console.error('Error:', error);
}
}Step 3: Advanced Parameters
Fine-tune your text generation
Customize the output with advanced parameters:
const response = await generateText({
model: Lumia('Lumia-V2-Pro'),
prompt: 'Write a technical blog post about AI',
system: 'You are an AI expert writing for developers.',
parameters: {
temperature: 0.7, // Controls randomness (0-1)
maxTokens: 500, // Maximum length of response
topP: 0.9, // Nucleus sampling parameter
frequencyPenalty: 0.5, // Reduces repetition
presencePenalty: 0.5 // Encourages topic diversity
}
});Parameter Explanations:
- temperature: Higher values make output more random, lower more focused
- maxTokens: Controls the length of generated text
- topP: Alternative to temperature for controlling randomness
- frequencyPenalty: Reduces word repetition
- presencePenalty: Encourages the model to talk about new topics
Step 4: Error Handling
Implement robust error handling
Add proper error handling to your text generation:
async function generateWithErrorHandling() {
try {
const { text, usage } = await generateText({
model: Lumia('Lumia-V2-Pro'),
prompt: 'Write about AI safety',
system: 'You are an AI safety researcher.',
});
console.log('Generated text:', text);
console.log('Token usage:', usage);
} catch (error) {
if (error.name === 'ValidationError') {
console.error('Invalid parameters:', error.message);
} else if (error.name === 'RateLimitError') {
console.error('Rate limit exceeded. Please try again later.');
} else {
console.error('Unexpected error:', error);
}
}
}