Integrating LLM APIs for AI-Powered Features

Large Language Models have opened up exciting possibilities for enhancing applications with intelligent features.

Use Cases

At Castkro, we integrated LLM APIs for:

• Talent suggestion algorithms
• Application writing assistance
• Content analysis and recommendations

Implementation

# Django example with OpenAI
import openai

def generate_suggestions(profile_data):
    response = openai.ChatCompletion.create(
        model='gpt-4',
        messages=[{'role': 'user', 'content': f'Generate suggestions for: {profile_data}'}]
    )
    return response.choices[0].message.content

Best Practices

• Cache responses when appropriate
• Implement rate limiting
• Add fallback mechanisms
• Monitor API costs closely
• Handle errors gracefully