Meor Amer

We conclude this series by exploring practical implementations in text generation. In particular, we’ll look at prompt chaining.

In Part 4, we look at how you can create your own models to excel at a specific task without requiring machine learning expertise.

In Part 3, we move from Playground to code and begin our exploration of the Generate endpoint.

In Part 2 of our series, we talk about generating ideas for the your next thing to build, and we go through some use case examples.

In this multi-part guide, we will go through everything that you need to know about generative AI with Cohere’s large language models (LLMs). In Part 1, we talk about model prompting.