Ask HN: Fine-tune GPT 3.5 or build an assistant?
1 comments
Use GPT-4, it's better than 3.5.
If you use a free tool, use Gemini Pro (which is the free model on bard.google.com), it's also better than GPT-3.5 (but not better than GPT-4).
The output doesn't have to be verbose, you can instruct it to be concise.
There's a GPT in the GPT store which translates verbose GPT output to human-like output. There's probably other custom GPTs that can help too.
You can make your own custom GPT with the essays as context, upload them as .txt files.
If you use a free tool, use Gemini Pro (which is the free model on bard.google.com), it's also better than GPT-3.5 (but not better than GPT-4).
The output doesn't have to be verbose, you can instruct it to be concise.
There's a GPT in the GPT store which translates verbose GPT output to human-like output. There's probably other custom GPTs that can help too.
You can make your own custom GPT with the essays as context, upload them as .txt files.
I have access to a database of essays from successful candidates and different universities, and I want to use this data to increase the quality of the outputs from GPT. I am just trying to decide if it's better to (1) leverage OpenAI assistants, feed the documents as knowledge and optimize prompts for each essay or (2) fine-tune a model such as GPT 3.5.
Any suggestions/recommendations?