awesome-sre
Prompt-Engineering-Guide
| awesome-sre | Prompt-Engineering-Guide | |
|---|---|---|
| 12 | 83 | |
| 11,526 | 44,105 | |
| - | 2.3% | |
| 0.0 | 9.7 | |
| 5 months ago | about 22 hours ago | |
| MDX | ||
| Creative Commons Zero v1.0 Universal | MIT License |
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awesome-sre
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24 GitHub repos with 372M views that you can't miss out as a software engineer
A curated list of Site Reliability and Production Engineering resources: https://github.com/dastergon/awesome-sre
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5 GitHub Projects to Help You Become a Better DevOps Engineer ⚡
5. Awesome Site Reliability Engineering
- New to Devops: recomandări
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SRE tools?
I found this “awesome” repo https://github.com/dastergon/awesome-sre that links to this other “awesome” repo about tools specifically that may be of interest https://github.com/SquadcastHub/awesome-sre-tools
- Splunk just for monitoring? Better / cheaper solution?
- A curated list of SRE resources
- Awesome SRE
- Best learning path for SRE/DevOps?
- Learn from the best - a curated list of 30+ articles on how top companies like Uber, Netflix are thinking about observability, monitoring and site reliability
- From SysAdmin to SRE
Prompt-Engineering-Guide
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Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Prompt Engineering Guide is the holy grail of all guides, aiming to make it easier to stay up-to-date with prompt engineering guides, techniques, applications, and papers. If you are getting started, this is an excellent place to start.
- FLaNK AI - 15 April 2024
- Prompt Engineering Guide
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24 GitHub repos with 372M views that you can't miss out as a software engineer
Guides, papers, lecture, notebooks and resources for prompt engineering: https://github.com/dair-ai/Prompt-Engineering-Guide
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Resources to deepen LLMs understanding for software engineers
this has been a great resource. approachable and great for practitioners. it's frequently updated with new papers and techniques https://www.promptingguide.ai/
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Step-by-Step Guide to building an Anomaly Detector using a LLM
The idea behind prompt engineering is to construct the queries given to the language models to optimise their performance. This helps to guide them to generate the desired output by fine-tuning their response. There is a plethora of research papers out there on different forms of prompt engineering. DAIR.AI published a guide on prompt engineering that you might find useful to get started.
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The Essential Guide to Prompt Engineering for Creators and Innovators
Prompt Engineering Guide
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Getting Started with Prompt Engineering
Let's try to understand what is Prompt Engineering is all about. Here's the quote from Prompt Engineering Guide. DAIR-AI
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Microsoft/promptbase: All things prompt engineering
I found this resource [0] handy for getting a grasp on all the different terms people use (zero/one-shot, tree of thoughts, RAG, etc). It's not super detailed, but was enough for me (a professional developer) to get started on some side projects with Mistral.
[0] https://www.promptingguide.ai/
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OpenAI: Prompt Engineering
There are better guides out there too
- https://www.promptingguide.ai/readings
- https://github.com/dair-ai/Prompt-Engineering-Guide/tree/mai...
- https://github.com/microsoft/promptbase (this one is less of a guide, but is likely the current SoTA)
What are some alternatives?
howtheysre - A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
awesome-chaos-engineering - A curated list of Chaos Engineering resources.
openai-cookbook - Examples and guides for using the OpenAI API
awesome-scalability - The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
BetterChatGPT - An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
awesome-interview-questions - :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
jaeger-ui - Web UI for Jaeger
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.