work done within the course Generative AI: OpenAI API, DeepSeek, and ChatGPT in Python
This repository contains code and exercises from the "Generative AI: OpenAI API, DeepSeek, and ChatGPT in Python" course by Lazy Programmer Inc. It was completed as part of my practical training in generative AI, including OpenAI's GPT models, prompt engineering, DeepSeek models, and API-based deployments in Python.
- ChatGPT, GPT-4, and OpenAI API usage via Python
- Prompt engineering (zero-shot, few-shot, CoT)
- Fine-tuning vs. embeddings
- Conversational agents and chatbots
- Text generation and summarization
- Using DeepSeek models (instruction-tuned)
- Real-world applications via API calls
While the code remains largely unmodified, I worked through all hands-on examples using:
- Jupyter/Colab for experimentation
- OpenAI & DeepSeek APIs for model interaction
- Prompt testing and agent logic exploration
This helped strengthen my understanding of how to build production-ready GenAI systems and interfaces.
Course by Lazy Programmer Inc.
Original license: BSD 3-Clause License (see LICENSE file)
This repository is for educational and portfolio demonstration purposes only. All rights to original code remain with the authors.