Why Are LLMs Expensive to Deploy?
AI Summary
Summary of ‘Why are LLMs so costly?’
- Cost Factors of Gen AI:
- Use Case: Importance of defining specific tasks for Gen AI implementation.
- Model Size: Impacts costs related to inference and tuning.
- Pre-training: Essential for understanding costs in AI model setup.
- Inference: Costs incurred during the model’s execution.
- Tuning: Adjustments needed for optimizing model performance, affecting overall costs.
- Hosting & Deployment: Ongoing expenses associated with running and maintaining the AI solution.
Conclusion:
Understanding these factors is crucial for making informed decisions to implement Gen AI that aligns with business needs while minimizing expenses.