In this project, we’ll build a hands-on Python notebook that integrates DeepSeek models using the OpenRouter API. We’ll work on real-world tasks such as summarizing research papers, writing customer support emails, generating Instagram captions, and solving coding problems, each powered by different DeepSeek models. We’ll use models like deepseek-r1, deepseek-v3-base, and deepseek-r1-0528 to generate language and code within a Jupyter Notebook.
This project introduces learners to prompt engineering, token counting, model selection, and multi-model chaining, key concepts in modern AI application development.