ItamarRocha / notebooks

Code examples and jupyter notebooks for the Cohere Platform

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 | Colab - v2]

12. Working with the Generate Endpoint

Explore the Generate endpoint, one of the endpoints available from the Cohere API. [Notebook | Colab]

13. Evaluating Custom Models

Create a custom Generate model and evaluate the generation quality. [Notebook | Colab]

14. Multilingual Semantic Search with Cohere and Langchain

Use Langchain to efficiently build semantic search applications on top of Cohere’s multilingual model. [Notebook | Colab]

15. Fueling Generative Content with Keyword Research

Build a content idea generator that is backed by keyword research. [Notebook | Colab]

16. Command Model Use Case Patterns

Understand the range of use cases that you can build with the Cohere Command model. [Notebook | Colab]

17. Constructing Prompts for the Command Model

Tips and ideas for constructing prompts for the Command Model [Notebook | Colab]

18. Validating Large Language Model Outputs

We look at what output validation is and how to implement it using Guardrails AI. [Notebook | Colab]

19. Question Answering Via SageMaker JumpStart

Question Answering using LangChain and Cohere's Generate and Embedding Models from SageMaker JumpStart [Notebook | Colab]

20. How to Build a Chatbot with the Chat Endpoint

Learn how to build a chatbot using Cohere’s Chat endpoint. [Notebook | Colab]

21. How to Build a RAG-Powered Chatbot with Chat, Embed, and Rerank

Learn how to build a chatbot using Cohere’s Chat, Embed, and Rerank endpoints. [Notebook | Colab]

22. How to Build a RAG-Powered Chatbot with Connectors

Learn how to build a chatbot connectors using Cohere's build-your-own connectors framework. [Notebook | Colab]

23. How to Fine-Tune a Model for Cohere Chat

[Notebook | Colab]