In this 1-hour long project-based course, you will learn how to install Python packages working with Cohere's API, integrate external APIs like Cohere in a Python script, use embeddings to analyze semantic similarity between text and generate text with Cohere's language models.



Text Generation with Cohere: Recognizing Similarities

Instructor: Parth Patil
Access provided by UNext Learning
Recommended experience
What you'll learn
- Integrate Cohere's APIs in a Python script. - Use embeddings to analyze semantic similarity. - Generate text with Cohere. 
Skills you'll practice
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- 1. Install/ Import Required Packages. - 2. Initialize Cohere Client. - 3. Define Phrases for Text Embeddings. - 4. Define a Semantic Similarity Function. - 5. Text Generation with Cohere. 
Recommended experience
Basic Python programming skills.
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Instructor

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How you'll learn
- Skill-based, hands-on learning - Practice new skills by completing job-related tasks. 
- Expert guidance - Follow along with pre-recorded videos from experts using a unique side-by-side interface. 
- No downloads or installation required - Access the tools and resources you need in a pre-configured cloud workspace. 
- Available only on desktop - This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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