Get started with Cohere!

This repo contains code examples and jupyter notebooks for you to get started with the Cohere Platform

1. Text Classification Using Embeddings

Create a simple sentiment classifier using Cohere's embeddings: [Notebook | Colab]

2. Text Summarization

Summarize or paraphrase text using Cohere's Generate endpoint. [Notebook | Colab]

3. Semantic Search

Build search products that search by meaning and go beyond keyword matching. [Notebook | Colab]

4. Entity Extraction

Extract name entities from text using only a few examples. [Notebook | Colab]

5. Recommender System

Recommend articles with via text embedding, classification, and extraction. [Notebook | Colab]

6. Visualizing Text Embeddings

Intuition behind text embeddings, what use cases they are good for, and how they can be customized using finetuning. [Notebook | Colab]

7. Clustering Hacker News Posts

Combing for insight in 10,000 Hacker News posts with text clustering [Notebook | Colab]

8. Hello World! Meet Language AI

A quick tour of what’s possible with language AI via Cohere’s Large Language Model (LLM) API [Notebook | Colab]

9. Topic Modeling of AI Papers in 2022

Semantic search and clustering of papers in Journal of Artificial Intelligence Research [Notebook | Colab]

10. Three Ways to Build a Text Classifier with the Cohere API

Helping you evaluate which of these options best suits your objectives [Notebook | Colab]

11. Generating Stories with Generate and Stable Diffusion

Describe your story in two sentences, then guide Cohere's language model as it turns it into a bigger story.

[Notebook | Colab]