Cohere’s large language models unleash powerful capabilities, like content generation, summarization, and search — all at massive scale.
Cohere’s large language models unleash powerful capabilities, like content generation, summarization, and search — all at massive scale.
Cohere’s large language models unleash powerful capabilities, like content generation, summarization, and search — all at massive scale.
Our Customers
We build high performance, secure language models for the enterprise
Our customizable, high-performance language models work on public, private, or hybrid clouds to ensure data security & exceptional support.
Semantic Search
Build accurate, high-performance semantic text search across any document type in English or in 100+ languages.
Learn moreGenerate
Write product descriptions, blog posts, articles, and marketing copy with scalable, affordable generative AI tools.
Learn moreClassify
Run text classification for customer support routing, intent recognition, sentiment analysis, and more.
Learn moreEmbed
Access a high-performance, managed embedding model that outperforms OSS and works in both English and 100+ languages.
Learn moreSemantic Search
Build accurate, high-performance semantic text search across any document type in English or in 100+ languages.
Learn moreGenerate
Write product descriptions, blog posts, articles, and marketing copy with scalable, affordable generative AI tools.
Learn moreClassify
Run text classification for customer support routing, intent recognition, sentiment analysis, and more.
Learn moreEmbed
Access a high-performance, managed embedding model that outperforms OSS and works in both English and 100+ languages.
Learn moreBuild smarter and faster with Cohere
Cohere models are pre-trained on billions of words, making our API easy to use and customize. Our multilingual semantic search supports 100+ languages, breaking down language barriers.
1import cohere
2co = cohere.Client('{apiKey}')
3response = co.generate(
4 prompt='Once upon a time in a magical land called'
5)
6print('Prediction: {}'.format(response.generations[0].text))
1{
2 "generations": [
3 {
4 "text": " \"Phoenix, Arizona\" there lived a tiny little girl named \"Miss Brianna.\" She lived"
5 }
6 ],
7 "prompt": "Once upon a time in a magical land called",
8}
LLM University
Curious about Large Language Models?
LLM University offers an approachable and structured curriculum to get you speaking our language.