cainstudios / cohereai-notebooks

Code examples and jupyter notebooks for the Cohere Platform

notebooks

Code examples and jupyter notebooks for 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]