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References

Every page lists the works it cites at its end. This page collects them all, together with further reading for the tutorial.

References
  1. Bavishi, R., Elsen, E., Hawthorne, C., Nye, M., Odena, A., Somani, A., & Taşırlar, S. (2023). Fuyu-8B: A Multimodal Architecture for AI Agents. https://www.adept.ai/blog/fuyu-8b/
  2. Woollaston, S., Flanagan, B., Wijerathne, I., & Ogata, H. (2026). Agentic AI and Pedagogical Best Practice: The Tension Between Automation and Learning. arXiv Preprint arXiv:2606.04543.
  3. Agostinelli, A., Denk, T. I., Borsos, Z., Engel, J., Verzetti, M., Caillon, A., Huang, Q., Jansen, A., Roberts, A., Tagliasacchi, M., & others. (2023). Musiclm: Generating music from text. arXiv Preprint arXiv:2301.11325.
  4. Agrawal, L. A., Tan, S., Soylu, D., Ziems, N., Khare, R., Opsahl-Ong, K., Singhvi, A., Shandilya, H., Ryan, M. J., Jiang, M., Potts, C., Sen, K., Dimakis, A. G., Stoica, I., Klein, D., Zaharia, M., & Khattab, O. (2026). GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. International Conference on Learning Representations (ICLR).
  5. Alayrac, J.-B., Donahue, J., Luc, P., Miech, A., Barr, I., Hasson, Y., Lenc, K., Mensch, A., Millican, K., Reynolds, M., Ring, R., Rutherford, E., Cabi, S., Han, T., Gong, Z., Samangooei, S., Monteiro, M., Menick, J., Borgeaud, S., … Simonyan, K. (2022). Flamingo: a Visual Language Model for Few-Shot Learning. Advances in Neural Information Processing Systems (NeurIPS). https://arxiv.org/abs/2204.14198
  6. Allen-Zhu, Z., & Li, Y. (2024). Physics of Language Models: Part 3.1, Knowledge Storage and Extraction. Proceedings of the 41st International Conference on Machine Learning (ICML), 235, 1067–1077.
  7. Alonso-Jiménez, P., Lizarraga-Seijas, X., Serra, X., & Bogdanov, D. (2026). AllMusicCaps: Album Reviews as Complementary Supervision for Music CLAP. Proceedings of the 27th International Society for Music Information Retrieval Conference (ISMIR). https://arxiv.org/abs/2608.25244
  8. Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete Problems in AI Safety. arXiv Preprint arXiv:1606.06565. https://arxiv.org/abs/1606.06565
  9. Anthropic. (2025). Agent Skills Specification. https://github.com/anthropics/skills
  10. Anthropic. (2023). Introducing Claude. Anthropic news. https://www.anthropic.com/news/introducing-claude
  11. Rajasekaran, P., Dixon, E., Ryan, C., & Hadfield, J. (2025). Effective Context Engineering for AI Agents. Anthropic Engineering blog. https://www.anthropic.com/research/effective-context-engineering-for-ai-agents
  12. Anthropic. (2024). Introducing the Model Context Protocol. Anthropic news. https://www.anthropic.com/news/model-context-protocol
  13. Aizawa, K. (2025). Writing Effective Tools for Agents — with Agents. Anthropic Engineering blog. https://www.anthropic.com/research/writing-tools-for-agents
  14. ArtMaster. (2026). Artie: Learn Piano with AI. https://apps.apple.com/us/app/artie-learn-piano-with-ai/id6746756746
  15. Bae, J., Park, D., Kwon, T., Choi, Y.-S., Hur, H., Obata, S., Kai, S., Wada, Y., Takahashi, Y., Maezawa, A., Park, J., Park, J., & Nam, J. (2026). SKY-Piano: A Multimodal Piano Performance Dataset. Proceedings of the 27th International Society for Music Information Retrieval Conference (ISMIR).
Conclusion
Conclusion