SuzyQuant
commented
8 months ago GPT-4-32K, as its name suggests, has a larger token limit than GPT-4. This means it can process longer sequences of text in a single pass, which can be beneficial for tasks that involve large documents or require a broad context window. For instance, if your documentation includes complex legal language or detailed explanations that span multiple pages, GPT-4-32K's larger token limit could allow it to better understand and generate appropriate responses. On the other hand, GPT-4, while having a smaller token limit, is generally faster and more efficient than GPT-4-32K. This could be an advantage if you need to generate responses quickly or if you're working with a large volume of documents.
In terms of the specific use case you mentioned - assisting with the drafting of documentation for the United States Immigration and Visa Association (USIVA) - either model could potentially be suitable. If the documentation primarily consists of standard forms or templates with relatively straightforward language, GPT-4 might be sufficient. However, if the documentation includes complex legal arguments or detailed personal narratives, GPT-4-32K's larger token limit could be beneficial.
Ultimately, the best way to determine which model is most suitable for your needs would be to conduct a series of tests or pilot studies using both models. This would allow you to assess their performance in a real-world setting and make an informed decision based on the results.
However, the increased token limit also implies a higher computational load, which may translate into increased costs for usage. The exact pricing would depend on the specific terms set by the provider of the GPT-4-32K model.
Research GPT-4-32K to see if we should use it for USIVA