- openrouter: access all models using the same code
- fast and open source: https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2
- Open-source: Crawl website with LLM: https://github.com/unclecode/crawl4ai
- Nasr et al (2023). Scalable Extraction of Training Data from (Production) Language Models. https://arxiv.org/abs/2201.10351
- Vamosi, S., Platzer, M., & Reutterer, T. (2022). AI-based re-identification of behavioral clickstream data. arXiv preprint arXiv:2201.10351.
- Canva: for nondesigners
- Figma: for designers
- Mihalcea, R., Biester, L., Boyd, R. L., Jin, Z., Perez-Rosas, V., Wilson, S., & Pennebaker, J. W. (2024). How developments in natural language processing help us in understanding human behaviour. Nature Human Behaviour, 8(10), 1877-1889.
- Stade, E. C., Stirman, S. W., Ungar, L. H., Boland, C. L., Schwartz, H. A., Yaden, D. B., ... & Eichstaedt, J. C. (2024). Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. NPJ Mental Health Research, 3(1), 12.
- Google: Lawrence HR, Schneider RA, Rubin SB, Mataric ́ MJ, McDuff DJ, Jones Bell M. The Opportunities and Risks of Large Language Models in Mental Health JMIR Ment Health 2024;11:e59479 doi: 10.2196/59479
- First RCT for psychotherapy: Heinz, M. V., Mackin, D. M., Trudeau, B. M., Bhattacharya, S., Wang, Y., Banta, H. A., ... & Jacobson, N. C. (2025). Randomized trial of a generative ai chatbot for mental health treatment. NEJM AI, 2(4), AIoa2400802.
- Stade, E. C., Toward Responsible Development and Evaluation of LLMs in Psychotherapy
- Donnelly (2025). Exploring the Potential of Large Language Models for Automated Safety Plan Scoring in Outpatient Mental Health Settings.
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Grammar: https://github.com/ggml-org/llama.cpp/blob/master/grammars/README.md
- only works with open source llama cpp (platform, not model) models
- restricts tokens before they are generated instead of post-processing.
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