What about starting a crowdfunding campaign to collect money to run the examples against GPT-4? about alpacadatacleaned HOT 5 OPEN

We have likely corrected many of the major issues with the original alpaca dataset. What remains are a lot of mostly minor issues (a lot of math issues still remain). So I tend to agree with the sentiment that taking the dataset and feeding into GPT-4 will not result in a huge performance boost; however, what might be interesting is having ChatGPT provide a response for all the instructions we have not curated.

This would likely result in a more verbose alpaca model that is closer to the output of ChatGPT.
Here's an example:

"instruction": "Give three tips for staying healthy."

original alpaca output:

1. Eat a balanced diet and make sure to include plenty of fruits and vegetables.
2. Exercise regularly to keep your body active and strong.
3. Get enough sleep and maintain a consistent sleep schedule.

ChatGPT output:

Sure! Here are three tips for staying healthy:

1. Eat a balanced diet that includes plenty of fruits, vegetables, whole grains, and lean proteins. Avoid processed foods and limit your intake of sugar, salt, and saturated fats.
2. Exercise regularly, aiming for at least 30 minutes of moderate activity most days of the week. This can include activities like walking, jogging, cycling, swimming, or strength training.
5. Get enough sleep each night, aiming for 7-8 hours of uninterrupted sleep. 

This will help you feel more rested and energized throughout the day, and can also help boost your immune system and reduce your risk of chronic health problems.

Not sure if it would really do anything in terms of performance though. Ideally, we would diversify the dataset.

from alpacadatacleaned.

Not as good an idea as it might seem. The instructions themselves are very repetitive. When it comes to writing code, there are like 10 different questions reworded 700 times.
Most instructions are also very simple. Add a and b, write a function to check prime numbers, etc. GPT-3.5-turbo answers them very well and is incredibly cheap. ~1000 instructions per dollar.
The best thing that could be done to improve the dataset is to generate better and more diverse instructions.

Otherwise, it's not necessary to collect money at all. Just create an interface, and then each user can run it locally with his own API key on a specific section of the dataset (e.g. 3650 instruction to 10500 instruction for user @viraniaman94).

from alpacadatacleaned.

It might be possible to use dialogues from the Open Assistant project (https://github.com/LAION-AI/Open-Assistant) as a seed to create more questions. But maybe paying 500$ to clickworkers to create more questions for Open Assistant might be a better investment.

from alpacadatacleaned.

Are there any plans on how to fix the dataset for the math issues @gururise? Is anyone actively working on that? I'd rather try my hand at something that isn't going to be useless by the time I'm done because someone already finished it.

from alpacadatacleaned.

Are there any plans on how to fix the dataset for the math issues @gururise? Is anyone actively working on that? I'd rather try my hand at something that isn't going to be useless by the time I'm done because someone already finished it.

@HideLord fixed the first few batches of the math issues. I know there are quite a few math issues remaining. As far as I know, there is nobody working on that right now.

from alpacadatacleaned.