Building AI-Powered Applications with LLMs

Large Language Models (LLMs) are transforming how we build software. Here's how to integrate them effectively.

Choosing the Right Model

Different models have different strengths:

Model	Best For
GPT-4	Complex reasoning
Claude	Long context, analysis
Llama	Self-hosted, privacy

API Integration

import openai

client = openai.OpenAI()
response = client.chat.completions.create(
    model="gpt-4",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing"}
    ]
)

Best Practices

1. Prompt Engineering: Clear, structured prompts yield better results
2. Error Handling: Always handle API failures gracefully
3. Rate Limiting: Implement proper rate limiting
4. Caching: Cache responses for identical queries
5. Monitoring: Track token usage and costs