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Ask HN: Fine-tune GPT 3.5 or build an assistant?
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1 points
by indieept
863 days ago
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I am currently developing a platform to help MBA candidates write unique MBA essays. I applied to HBS and INSEAD in the past, and when I used ChatGPT to assist me with the essays, the answers were really generic and the text used very complex words. 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? |
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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.