Use generative models to easily parse out entities from text
Extract the band name from the contract:
This Music Recording Agreement ("Agreement") is made effective as of the 13 day of December, 2021 by and between Good Kid, a Toronto-based musical group (“Artist”) and Universal Music Group, a record label with license number 545345 (“Recording Label"). Artist and Recording Label may each be referred to in this Agreement individually as a "Party" and collectively as the "Parties." Work under this Agreement shall begin on March 15, 2022.
Good Kid
1import cohere
2co = cohere.Client('{apiKey}')
3response = co.generate(
4 model='command',
5 prompt='extract the band name from the contract: This Music Recording Agreement (\"Agreement\") is made effective as of the 13 day of December, 2021 by and between Good Kid, a Toronto-based musical group (“Artist”) and Universal Music Group, a record label with license number 545345 (“Recording Label\"). Artist and Recording Label may each be referred to in this Agreement individually as a \"Party\" and collectively as the \"Parties.\" Work under this Agreement shall begin on March 15, 2022.',
6 max_tokens=200,
7 temperature=0.9,
8 k=0,
9 p=1,
10 frequency_penalty=0,
11 presence_penalty=0,
12 stop_sequences=[],
13 return_likelihoods='NONE')
14print('Prediction: {}'.format(response.generations[0].text))| model_size | command |
| temperature | 0.9 |
| k | 0 |
| frequency_penalty | 0 |
| p | 1 |
| presence_penalty | 0 |
| max_tokens | 200 |