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prompt-engineering discussion
prompt-engineering reviews and mentions
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We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-05.
- Ask HN: Any good collection of writing prompts for GPT 3.5/4?
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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
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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).
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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:
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(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
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A note from our sponsor - Nutrient
nutrient.io | 16 Mar 2025
Stats
Basic prompt-engineering repo stats
18
8,575
5.1
over 1 year ago
brexhq/prompt-engineering is an open source project licensed under MIT License which is an OSI approved license.
Popular Comparisons
- prompt-engineering VS chathub
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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
nutrient.io
Review ★★★★★ 9/10
As an avid enthusiast in prompt-engineering, I immersed in world of technological advancements and innovative solutions. The prospect of utilizing prompt-engineering to enhance the efficiency and effectiveness of various processes excites me. It's like being part of a cutting-edge revolution, where creativity and logic intertwine to create extraordinary outcomes. Whether it's crafting compelling narratives, generating accurate code snippets, or composing captivating content, prompt-engineering unlocks a realm of endless possibilities. It's a journey that fuels my curiosity and pushes me to explore the boundaries of what can be achieved through power words and algorithms.
Review ★★★★☆ 7/10