prompt-engineering
gpt_jailbreak_status
| prompt-engineering | gpt_jailbreak_status | |
|---|---|---|
| 18 | 49 | |
| 7,932 | 883 | |
| 1.7% | - | |
| 5.1 | 9.4 | |
| 6 months ago | 3 months ago | |
| HTML | ||
| MIT License | - |
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prompt-engineering
- Ask HN: Any good collection of writing prompts for GPT 3.5/4?
-
Show HN: LLM Agent Paper List
An agent is a style of prompt that lets LLMs act as reasoning engines. It's also known as the ReAct pattern (which engineers are avoiding using for namespace collision reasions).
You can read a good intro example here: https://github.com/brexhq/prompt-engineering#react
- FLaNK Stack Weekly for 20 June 2023
-
What are your long-term career goals?
Well, if developers get replaced by AI, then who are the managers going to manage :). I personally don't think AI is just going to replace us. The way we work will continue to change as new AI tools come out. I'm taking time to tinker with new tools and seeing how others do as well (e.g., I found Brex's tips and tricks for working with LLMs very insightful: https://github.com/brexhq/prompt-engineering).
-
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
I recognize there's plenty of catnip here when it comes to calling this "engineering" or not, however, whatever you want to call it (prompt fiddling?), the techniques are crucial if you want to achieve reasonably consistent output from current-state LLMs. As models improve concerns about context window limitations will be reduced and it will be easier to discern user intent.
These are good straight-to-the-point guides:
- Prompt Engineering by BrexHQ: https://github.com/brexhq/prompt-engineering
- OpenAI guidance: https://help.openai.com/en/articles/6654000-best-practices-f...
- https://devblogs.microsoft.com/dotnet/gpt-prompt-engineering...
- (great examples): https://www.deeplearning.ai/short-courses/chatgpt-prompt-eng...
tl;dr:
-
(2/2) May 2023
Brex's Prompt Engineering Guide (https://github.com/brexhq/prompt-engineering)
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
- Brex’s Prompt Engineering Guide
gpt_jailbreak_status
- Ask HN: Any good collection of writing prompts for GPT 3.5/4?
- Ask HN: What have you built with LLMs?
- What is prompt-engineering for artificial intelligence?
- Is DAN dead?
- GitHub - tg12/gpt_jailbreak_status: This is a repository that aims to provide updates on the status of jailbreaking the OpenAI GPT language model.
- If ChatGPT Can't Access The Internet Then How Is This Possible?
- Google AI in Search couldn't agree with itself
- GPT-4 Jailbreak Repo
What are some alternatives?
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
ChatGPT_DAN - ChatGPT DAN, Jailbreaks prompt
Prompt-Engineering-Guide - 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
ChatGPT-Jailbreaks - Official jailbreak for ChatGPT (GPT-3.5). Send a long message at the start of the conversation with ChatGPT to get offensive, unethical, aggressive, human-like answers in English and Italian.
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
pages-gem - A simple Ruby Gem to bootstrap dependencies for setting up and maintaining a local Jekyll environment in sync with GitHub Pages
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
chathub - All-in-one chatbot client
CX_DB8 - a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
canal - 阿里巴巴 MySQL binlog 增量订阅&消费组件
datadm - DataDM is your private data assistant. Slide into your data's DMs