new papers

pull/58/head
Elvis Saravia 1 year ago
parent f87b5568d3
commit 72da164d78

@ -145,6 +145,7 @@ The current recommendation for `gpt-3.5-turbo-0301` is to add instructions in th
---
## References
- [ChatGPT as the Transportation Equity Information Source for Scientific Writing](https://arxiv.org/abs/2303.11158) (March 2023)
- [Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential](https://arxiv.org/abs/2303.09038) (March 2023)
- [ChatGPT Participates in a Computer Science Exam](https://arxiv.org/abs/2303.09461) (March 2023)
- [Consistency Analysis of ChatGPT](https://arxiv.org/abs/2303.06273) (Mar 2023)

@ -156,4 +156,9 @@ See more results in their [main blog post](https://openai.com/research/gpt-4) an
We will summarize many applications of GPT-4 in the coming weeks. In the meantime, you can checkout a list of applications in this [Twitter thread](https://twitter.com/omarsar0/status/1635816470016827399?s=20).
## Library Usage
Coming soon!
Coming soon!
## References
- [DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4](https://arxiv.org/abs/2303.11032) (March 2023)
- [GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models](https://arxiv.org/abs/2303.10130) (March 2023)

@ -14,6 +14,9 @@ The following are the latest papers (sorted by release date) on prompt engineeri
## Approaches
- [Context-faithful Prompting for Large Language Models](https://arxiv.org/abs/2303.11315) (Mar 2023)
- [Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning](https://arxiv.org/abs/2303.10475) (Mar 2023)
- [UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation](https://arxiv.org/abs/2303.08518) (Mar 2023)
- [Model-tuning Via Prompts Makes NLP Models Adversarially Robust](https://arxiv.org/abs/2303.07320) (Mar 2023)
- [Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer](https://arxiv.org/abs/2303.03922) (March 2023)
- [CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification](https://arxiv.org/abs/2303.03628) (March 2023)

@ -1,6 +1,7 @@
# Additional Readings
#### (Sorted by Name)
- [【徹底解説】これからのエンジニアの必携スキル、プロンプトエンジニアリングの手引「Prompt Engineering Guide」を読んでまとめてみた](https://dev.classmethod.jp/articles/how-to-design-prompt-engineering/)
- [3 Principles for prompt engineering with GPT-3](https://www.linkedin.com/pulse/3-principles-prompt-engineering-gpt-3-ben-whately)
- [A beginner-friendly guide to generative language models - LaMBDA guide](https://aitestkitchen.withgoogle.com/how-lamda-works)
- [A Complete Introduction to Prompt Engineering for Large Language Models](https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering)
@ -8,6 +9,7 @@
- [An SEOs guide to ChatGPT prompts](https://searchengineland.com/chatgpt-prompts-seo-393523)
- [AI Content Generation](https://www.jonstokes.com/p/ai-content-generation-part-1-machine)
- [AI's rise generates new job title: Prompt engineer](https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job)
- [Awesome Textual Instruction Learning Papers](https://github.com/RenzeLou/awesome-instruction-learning)
- [Awesome ChatGPT Prompts](https://github.com/f/awesome-chatgpt-prompts)
- [Best 100+ Stable Diffusion Prompts](https://mpost.io/best-100-stable-diffusion-prompts-the-most-beautiful-ai-text-to-image-prompts)
- [Best practices for prompt engineering with OpenAI API](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)
@ -54,6 +56,7 @@
- [OpenAI Prompt Examples for several applications](https://platform.openai.com/examples)
- [Pretrain, Prompt, Predict - A New Paradigm for NLP](http://pretrain.nlpedia.ai)
- [Prompt Engineer: Tech's hottest job title?](https://www.peoplematters.in/article/talent-management/is-prompt-engineering-the-hottest-job-in-ai-today-37036)
- [Prompt Engineering by Lilian Weng](https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/)
- [Prompt Engineering 101 - Introduction and resources](https://www.linkedin.com/pulse/prompt-engineering-101-introduction-resources-amatriain)
- [Prompt Engineering 101: Autocomplete, Zero-shot, One-shot, and Few-shot prompting](https://youtube.com/watch?v=v2gD8BHOaX4&feature=shares)
- [Prompt Engineering 101](https://humanloop.com/blog/prompt-engineering-101)

Loading…
Cancel
Save