This repo contains code examples and jupyter notebooks for you to get started with the Cohere Platform
Create a simple sentiment classifier using Cohere's embeddings:
[Notebook | Colab]
Summarize or paraphrase text using Cohere's Generate endpoint. [Notebook | Colab]
Build search products that search by meaning and go beyond keyword matching. [Notebook | Colab]
Extract name entities from text using only a few examples. [Notebook | Colab]
Recommend articles with via text embedding, classification, and extraction. [Notebook | Colab]
Intuition behind text embeddings, what use cases they are good for, and how they can be customized using finetuning. [Notebook | Colab]
Combing for insight in 10,000 Hacker News posts with text clustering [Notebook | Colab]
A quick tour of what’s possible with language AI via Cohere’s Large Language Model (LLM) API [Notebook | Colab]
Semantic search and clustering of papers in Journal of Artificial Intelligence Research [Notebook | Colab]
Helping you evaluate which of these options best suits your objectives [Notebook | Colab]
Describe your story in two sentences, then guide Cohere's language model as it turns it into a bigger story.