Write a blog outline for a blog titled "How Transformers made Large Language models possible"
The history of Transformers and how they made large language models possible
How Transformers work and how they were able to create such large models
The benefits of using Transformers for large language models
The challenges of using Transformers for large language models
The future of Transformers and large language models
1import cohere
2co = cohere.Client('{apiKey}')
3response = co.generate(
4 model='command',
5 prompt='Write a blog outline for a blog titled \"How Transformers made Large Language models possible\"',
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 |
| p | 1 |
| presence_penalty | 0 |
| max_tokens | 200 |
| temperature | 0.9 |
| k | 0 |
| frequency_penalty | 0 |