Bibliography (17):

1. GPT-3: Language Models are Few-Shot Learners

2. ​ GPT-3 Creative Fiction § Prompts As Programming

3. Beyond Research

4. Discovering Language Model Behaviors with Model-Written Evaluations

5. Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

6. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4218031

7. https://github.com/langchain-ai/langchain

8. https://arxiv.org/abs/2211.09110

9. Wikipedia Bibliography:

   1. Artificial intelligence

   2. https://en.wikipedia.org/wiki/Fiduciary  :

      https://en.wikipedia.org/wiki/Fiduciary

   3. Reinforcement learning

   4. Weak supervision § Semi-supervised learning

   5. https://en.wikipedia.org/wiki/United_States_district_court  :

      https://en.wikipedia.org/wiki/United_States_district_court

   6. https://en.wikipedia.org/wiki/State_court_(United_States)  :

      https://en.wikipedia.org/wiki/State_court_(United_States)

   7. https://en.wikipedia.org/wiki/Open_source  :

      https://en.wikipedia.org/wiki/Open_source

   8. OpenAI

   9. Calibration (statistics)