Choosing the right Large Language Model (LLM) for AI applications can be a daunting task. With numerous options available, it's essential to understand the differences between them. LLMs come in various sizes and training data, each with its unique strengths and weaknesses. Proprietary models, developed by private corporations, are typically paid services that offer more frequent updates and better safety branding. However, they can be "black boxes" hiding their inner workings from developers.

When selecting an LLM, consider the type of training data used, the model's size, and its performance on various tests. Some popular proprietary models include those developed in August 2023. It's crucial to evaluate each option based on your specific AI application needs.

Source: https://dev.to/timesofasi/best-practices-for-choosing-an-llm-for-ai-applications-4mdd