Skip to content
This repository was archived by the owner on Jan 16, 2025. It is now read-only.

Commit 1b85366

Browse files
mrmer1mrmer1
authored
Merge pull request #133 from cohere-ai/llmu-updates
Reorganize notebooks into categories
2 parents ff792bb + 947083a commit 1b85366

File tree

56 files changed

+5517
-5189
lines changed

Some content is hidden

Large Commits have some content hidden by default. Use the searchbox below for content that may be hidden.

56 files changed

+5517
-5189
lines changed

‎README.md

Lines changed: 9 additions & 157 deletions
Original file line numberDiff line numberDiff line change
@@ -1,160 +1,12 @@
1-
# Get started with Cohere!
1+
# Cohere Cookbook
22

3-
This repo contains code examples and jupyter notebooks for you to get started with the Cohere Platform
3+
Welcome to the Cohere Cookbook! This repository provides a collection of examples to help you get started with the Cohere API. These examples contain step-by-step guides, with code examples and explanations, to help you understand and use the API effectively.
44

5-
### 1. Text Classification Using Embeddings
5+
# Getting Started
6+
The cookbook is grouped into a few categories. To get started, go to any of the categories below. You will find more details there, but here's a summary:
67

7-
Create a simple sentiment classifier using Cohere's embeddings:
8-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Text_Classification_Using_Embeddings.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Text_Classification_Using_Embeddings.ipynb">Colab</a>]
9-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/67bfbe868ccfde25f903d3aacea5a1ffaebfdb42/notebooks/images/interim-notebook-visuals/text-classification-embeddings-interim.svg" style="width:100%; max-width:400px" alt="first we embed the text in the dataset, then we use that to train a classifier" />
10-
11-
### 2. Text Summarization
12-
13-
Summarize or paraphrase text using Cohere's Generate endpoint.
14-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Basic_Summarization_Notebook.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Basic_Summarization_Notebook.ipynb">Colab</a>]
15-
16-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/67bfbe868ccfde25f903d3aacea5a1ffaebfdb42/notebooks/images/interim-notebook-visuals/summarization-interim.svg" style="width:100%; max-width:400px" alt="provided with the right prompt, a language model can generate multiple candidate summaries" />
17-
18-
### 3. Semantic Search
19-
20-
Build search products that search by meaning and go beyond keyword matching.
21-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Basic_Semantic_Search.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Basic_Semantic_Search.ipynb">Colab</a>]
22-
23-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/67bfbe868ccfde25f903d3aacea5a1ffaebfdb42/notebooks/images/interim-notebook-visuals/semantic-search-interim.svg" style="width:100%; max-width:400px" alt="Use query and archive embeddings to retrieve relevant search results" />
24-
25-
### 4. Entity Extraction
26-
27-
Extract name entities from text using only a few examples.
28-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Entity_Extrcation_with_Generative_Language_Models.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Entity_Extrcation_with_Generative_Language_Models.ipynb">Colab</a>]
29-
30-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/67bfbe868ccfde25f903d3aacea5a1ffaebfdb42/notebooks/images/interim-notebook-visuals/entity-extraction-interim.svg" style="width:100%; max-width:400px" alt="Extract name entities from text using only a few examples" />
31-
32-
### 5. Recommender System
33-
34-
Recommend articles with via text embedding, classification, and extraction.
35-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Article_Recommender_with_Text_Embedding_Classification_Extraction.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Article_Recommender_with_Text_Embedding_Classification_Extraction.ipynb">Colab</a>]
36-
37-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/67bfbe868ccfde25f903d3aacea5a1ffaebfdb42/notebooks/images/interim-notebook-visuals/recommend-articles-interim.svg" style="width:100%; max-width:400px" alt="Article recommender with Embed, Classify, and Generate" />
38-
39-
### 6. Visualizing Text Embeddings
40-
41-
Intuition behind text embeddings, what use cases they are good for, and how they can be customized using finetuning.
42-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Visualizing_Text_Embeddings.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Visualizing_Text_Embeddings.ipynb">Colab</a>]
43-
44-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/67bfbe868ccfde25f903d3aacea5a1ffaebfdb42/notebooks/images/interim-notebook-visuals/visualize-embed-interim.svg" style="width:100%; max-width:400px" alt="Visualizing Text Embeddings" />
45-
46-
### 7. Clustering Hacker News Posts
47-
48-
Combing for insight in 10,000 Hacker News posts with text clustering
49-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Analyzing_Hacker_News_with_Six_Language_Understanding_Methods.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Analyzing_Hacker_News_with_Six_Language_Understanding_Methods.ipynb">Colab</a>]
50-
51-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/Hacker-News-text-analysis-2.png" style="width:100%; max-width:400px" alt="Clustering Hacker News Posts" />
52-
53-
### 8. Hello World! Meet Language AI
54-
55-
A quick tour of what’s possible with language AI via Cohere’s Large Language Model (LLM) API
56-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Hello_World_Meet_Language_AI.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Hello_World_Meet_Language_AI.ipynb">Colab</a>]
57-
58-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/hello-world/hello-world-feat.png" style="width:100%; max-width:400px" alt="Hello World! Meet Language AI" />
59-
60-
### 9. Topic Modeling of AI Papers in 2022
61-
62-
Semantic search and clustering of papers in Journal of Artificial Intelligence Research
63-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Topic_Modeling_AI_Papers.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Topic_Modeling_AI_Papers.ipynb">Colab</a>]
64-
65-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/topic_modeling_ai_papers.png" style="width:100%; max-width:400px" alt="Hello World! Meet Language AI" />
66-
67-
### 10. Three Ways to Build a Text Classifier with the Cohere API
68-
69-
Helping you evaluate which of these options best suits your objectives
70-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Topic_Modeling_AI_Papers.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Three_Ways_to_Build_a_Text_Classifier_with_Cohere.ipynb">Colab</a>]
71-
72-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/classify-three-options/classify-options-feat.png" style="width:100%; max-width:400px" alt="Hello World! Meet Language AI" />
73-
74-
### 11. Generating Stories with Generate and Stable Diffusion
75-
Describe your story in two sentences, then guide Cohere's language model as it turns it into a bigger story.
76-
77-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Generating_stories_with_LLMs_and_Stable_Diffusion.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Generating_stories_with_LLMs_and_Stable_Diffusion.ipynb">Colab</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Brainstorming_Story_Ideas_with_Cohere_and_Stable_Diffusion.ipynb">Colab - v2</a>]
78-
79-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/story-generation-prompt-chaining.png" style="width:100%; max-width:400px" alt="Story Generation with Generate and Stable Diffusion" />
80-
81-
### 12. Working with the Generate Endpoint
82-
Explore the Generate endpoint, one of the endpoints available from the Cohere API.
83-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Working_With_the_Generate_Endpoint.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Working_With_the_Generate_Endpoint.ipynb">Colab</a>]
84-
85-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/generative-ai-part3.png" style="width:100%; max-width:400px" alt="Working with the Generate Endpoint" />
86-
87-
### 13. Evaluating Custom Models
88-
Create a custom Generate model and evaluate the generation quality.
89-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Evaluating_Custom_Models.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Evaluating_Custom_Models.ipynb">Colab</a>]
90-
91-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/generative-ai-part4.png" style="width:100%; max-width:400px" alt="Evaluating Custom Models" />
92-
93-
### 14. Multilingual Semantic Search with Cohere and Langchain
94-
Use Langchain to efficiently build semantic search applications on top of Cohere’s multilingual model.
95-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Multilingual_Search_with_Cohere_and_Langchain.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Multilingual_Search_with_Cohere_and_Langchain.ipynb">Colab</a>]
96-
97-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/search-cohere-langchain.png" style="width:100%; max-width:400px" alt="Multilingual Semantic Search with Cohere and Langchain" />
98-
99-
### 15. Fueling Generative Content with Keyword Research
100-
Build a content idea generator that is backed by keyword research.
101-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Fueling_Generative_Content_with_Keyword_Research.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Fueling_Generative_Content_with_Keyword_Research.ipynb">Colab</a>]
102-
103-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/fueling-generative-content.png" style="width:100%; max-width:400px" alt="Fueling Generative Content with Keyword Research" />
104-
105-
### 16. Command Model Use Case Patterns
106-
Understand the range of use cases that you can build with the Cohere Command model.
107-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Command_Model_Use_Case_Patterns.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Command_Model_Use_Case_Patterns.ipynb">Colab</a>]
108-
109-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/command-usecase-patterns.png" style="width:100%; max-width:400px" alt="Command Model Use Case Patterns" />
110-
111-
### 17. Constructing Prompts for the Command Model
112-
Tips and ideas for constructing prompts for the Command Model
113-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Constructing_Prompt_Commands.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Constructing_Prompt_Commands.ipynb">Colab</a>]
114-
115-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/constructing-prompts.png" style="width:100%; max-width:400px" alt="Constructing Prompts for the Command Model" />
116-
117-
### 18. Validating Large Language Model Outputs
118-
We look at what output validation is and how to implement it using Guardrails AI.
119-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Validating_Large_Language_Model_Outputs.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Validating_Large_Language_Model_Outputs.ipynb">Colab</a>]
120-
121-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/validating-llm-outputs.png" style="width:100%; max-width:400px" alt="Validating Large Language Model Outputs
122-
" />
123-
124-
125-
### 19. Question Answering Via SageMaker JumpStart
126-
Question Answering using LangChain and Cohere's Generate and Embedding Models from SageMaker JumpStart
127-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/QuestionAnwering_Cohere_SagemakerJumpstart.ipynb">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/QuestionAnwering_Cohere_SagemakerJumpstart.ipynb">Colab</a>]
128-
129-
130-
131-
### 20. How to Build a Chatbot with the Chat Endpoint
132-
Learn how to build a chatbot using Cohere’s Chat endpoint.
133-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/How_to_Build_a_Chatbot_with_the_Chat_Endpoint.ipynb
134-
">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/How_to_Build_a_Chatbot_with_the_Chat_Endpoint.ipynb
135-
">Colab</a>]
136-
137-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/chatbot-chat-endpoint.png" style="width:100%; max-width:400px" alt="How to Build a Chatbot with the Chat Endpoint" />
138-
139-
### 21. How to Build a RAG-Powered Chatbot with Chat, Embed, and Rerank
140-
Learn how to build a chatbot using Cohere’s Chat, Embed, and Rerank endpoints.
141-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/RAG_Chatbot_with_Chat_Embed_Rerank.ipynb
142-
">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/RAG_Chatbot_with_Chat_Embed_Rerank.ipynb
143-
">Colab</a>]
144-
145-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/rag-chatbot.png" style="width:100%; max-width:400px" alt="How to Build a RAG-Powered Chatbot with Chat, Embed, and Rerank" />
146-
147-
### 22. How to Build a RAG-Powered Chatbot with Connectors
148-
Learn how to build a chatbot connectors using Cohere's build-your-own connectors framework.
149-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/examples/chat_rag_connector/RAG_Chatbot_with_Connectors.ipynb
150-
">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/examples/chat_rag_connector/RAG_Chatbot_with_Connectors.ipynb
151-
">Colab</a>]
152-
153-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/rag-chatbot-connector.png" style="width:100%; max-width:400px" alt="How to Build a RAG-Powered Chatbot with Connectors" />
154-
155-
### 23. How to Fine-Tune a Model for Cohere Chat
156-
[<a href="https://github.com/cohere-ai/notebooks/blob/main/notebooks/Fine_tuning_Models_for_the_Chat_Endpoint.ipynb
157-
">Notebook</a> | <a href="https://colab.research.google.com/github/cohere-ai/notebooks/blob/main/notebooks/Fine_tuning_Models_for_the_Chat_Endpoint.ipynb
158-
">Colab</a>]
159-
160-
<img src="https://raw.githubusercontent.com/cohere-ai/notebooks/main/notebooks/images/chat-finetune.png" style="width:100%; max-width:400px" alt="How to Fine-Tune a Model for Cohere Chat" />
8+
| Category | Description |
9+
| --- | --- |
10+
| [Guides](notebooks/guides/) | Tutorials and step-by-step guides covering a range of topics, providing practical guidance and code examples.
11+
| [LLM University](notebooks/llmu/) | Guides for getting started with Cohere, starting with basic usage and progressing to advanced topics. The code companion to the full [LLM University course](https://llm.university/).|
12+
| Enterprise (Coming soon) | Guides and best practices for deploying LLMs in an enterprise setting. Curated from real client engagements, offering insights and solutions for businesses.|

0 commit comments

Comments
 (0)