Efficiency and Accessibility: LLaMA is more efficient and requires less computational power to run, making it accessible to a wider range of users, including researchers and developers who may not have access to high-performance computing
Smaller Size: LLaMA is smaller than many other models, which makes it more accessible and less resource-intensive than other models
Non-Commercial License: LLaMA is available under a non-commercial license, making it more affordable for some users
Safer Output and Up-to-Date Data: LLaMA 3 generates safer output and offers more up-to-date data than OpenAI's GPT-3.5
Improved Performance and Customizability: Using LLaMA can provide improved performance in applications compared to traditional machine learning algorithms, with accuracy improvements ranging from 5% to 10%. It is also more adaptable for developers, allowing for more customization.
- January 2024 (2)