appendix-b
appendix B References and additional resources
This appendix provides details for all sources cited in the book. Each entry is numbered sequentially by chapter and referenced in the text using bracket notation (e.g., [1]).
It also lists additional resources, organized into five categories: academic papers and technical reports, model releases and technical reports, books, software and documentation, and regulatory frameworks.
B.1 References
B.1.1 Chapter 4
- Ollama, “Ollama Model Library,” 2025. https://ollama.com/library
- Gemma Team, Google DeepMind, “Gemma 3 Technical Report,” 2025. https://arxiv.org/abs/2503.19786
- Meta AI, “Llama 4: The Beginning of a New Era of Natively Multimodal AI,” 2025. https://ai.meta.com/blog/llama-4-multimodal-intelligence/
- Alibaba Cloud, “Qwen 3.5: Thinking Smarter, Faster,” 2026. https://qwenlm.github.io/blog/qwen3.5/
- A.Q. Jiang, A.Sablayrolles, A. Mensch, C. Bamford, D. Singh Chaplot, D. de las Casas, F. Bressand, G. Lengyel, G. Lample, L. Saulnier, et al., “Mistral 7B,” Mistral AI, 2023. https://arxiv.org/abs/2310.06825
B.1.2 Chapter 5
- A. Sweigart, Automate the Boring Stuff with Python: Practical Programming for Total Beginners, 2nd ed., No Starch Press, 2019.
- Python Software Foundation, “Python 3 Documentation,” 2025. https://docs.python.org/3/
- Microsoft, “Visual Studio Code Documentation,” 2025. https://code.visualstudio.com/docs