Open kushal-ti opened 1 year ago
Some existing research has already been carried out in #38 however, that issue will be closed in favour of this one
We will probably need to suggest more than 1 option to the student, as some of them don't make sense or won't be easy to memorize for students.
API Request example:
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
model="text-davinci-002",
prompt="Create funny acronym containing 'MNNCNRPMDVNSG':",
temperature=0.7,
max_tokens=256,
top_p=1.0,
frequency_penalty=0.0,
presence_penalty=0.0
)
- Generate acronyms with GPT-3 (OpenAI):
Example We will probably need to suggest more than 1 option to the student, as some of them don't make sense or won't be easy to memorize for students.
API Request example:
import os import openai openai.api_key = os.getenv("OPENAI_API_KEY") response = openai.Completion.create( model="text-davinci-002", prompt="Create funny acronym containing 'MNNCNRPMDVNSG':", temperature=0.7, max_tokens=256, top_p=1.0, frequency_penalty=0.0, presence_penalty=0.0 )
One problem I've realized when using GPT-3 is that some times it uses swear words (Example: "DNBNF": Dumbass Numbnuts Bragging Nearly Finishes) can we configure it so this doesn't happen?
Example: Creating a Story for the word Blitzkrieg:
This stories sometimes don't make sense or just explain what the word means, example:
API request example:
import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
model="text-davinci-002",
prompt="Create a story for the word 'Blitzkrieg':",
temperature=0.7,
max_tokens=256,
top_p=1.0,
frequency_penalty=0.0,
presence_penalty=0.0
)
Will we be using OpenAI for this? It has some costs related to it, but it's the most powerful option now. There are some open source alternatives like GPT-Neo or GPT-J but they aren't as powerful as OpenAI DaVinci
Not sure whether it's useful or not, most of them don't make any sense and don't even rhyme.
research autogenerating or auto suggesting different kinds of mnemonics, such as acrostics, story points, peg lists, etc using GPT-3