Prompt-Engineering-Guide
hof
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83 | 33 | |
43,924 | 475 | |
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9.7 | 8.9 | |
8 days ago | 5 months ago | |
MDX | Go | |
MIT License | Apache License 2.0 |
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Prompt-Engineering-Guide
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Top Open Source Prompt Engineering Guides & Toolsπ§ποΈπ
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)
hof
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Ask HN: Are SQL developers generally familiar with JSON, VSCode and Docker?
Many business analysts use SQL, have for a long time. They are probably not your target audience. With the problem being JAVA specific, you'd likely want to start there
This sounds similar to the goals of my hof tool (https://github.com/hofstadter-io/hof), lift type definitions out of code so they can be defined in one place, then generate the code for all the places. Is that sounding like what you are after?
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Show HN: Open SaaS β An open-source alternative to paid boilerplate starters
Having built something similar, the biggest challenge for users is that they have to use a bespoke language, like WASP here. I suspect that it is also your biggest challenge as well.
Mine is built on CUE, which at least has the potential to become a more widely used language. CUE hasn't reached sufficient maturity for broader adoption yet, so I continue to face this same problem.
https://github.com/hofstadter-io/hof
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OpenAI: Prompt Engineering
Here's a big one I needed to get ChatGPT to do something more sophisticated with a JSON object response (predates functions and all that)
https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
It no longer worked after a model update some time ago, haven't tried recently.
I found codellama to be much better for this and require fewer instructions, an anecdotal validation for smaller, focussed models
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Ask HN: What's the most compelling AI prompt result you've seen?
I was surprised out how you can define arbitrary grammars using arbitrary formulation and it would follow it. Of course you have to redo the prompt every time there is an update... such a pain
https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
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HTTPie Desktop: cross-platform API testing client for humans
CUE is indeed a beautiful language, will get those mind juices flowing for sure!
There is more work to be done on the codec implementation, but if you just want to split yaml/json across files, CUE is a great option
You might also like my project, built on CUE: https://github.com/hofstadter-io/hof We have a TUI where you can explore and work with CUE, JSON, Yaml
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Show HN: A tool to Convert JSON schemas into TypeScript classes
You can pretty much make up any pseudo grammar like this one, which is a reduced JSON object that is close to CUE: https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
No need to be formal or use a standard format
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Guidance: A guidance language for controlling large language models
Yea, in particular for this project, they have created a bespoke templating system.
You can get the same thing with Go text/templates by adding chat function(s) as custom a helper: https://github.com/hofstadter-io/hof/blob/_dev/lib/templates...
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Textual Web: TUIs for the Web
100% one of the best things about building a TUI is not having the pain of modern web development. I do think there is a way to have a CLI & TUI come from the same code, so you can get the best of both, or pick the best for the task at hand.
experiments in progress here: https://github.com/hofstadter-io/hof/tree/_dev/lib/tui
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Jacobin: Minimal JVM written in Go and capable of running Java 17 classes
CUE is another interesting language to use from within Go, and is rather natural, given CUE is implemented in Go, but you can also do way more cool things with CUE via the Go API.
We're using CUE to validate and transform data, as input to code gen, the basis for a DAG task engine, and more
https://cuelang.org | https://pkg.go.dev/cuelang.org/[email protected]/cue | https://cuetorials.com/go-api (learn about CUE)
https://github.com/hofstadter-io/hof (where we are doing these things)
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Introducing TypeChat from Microsoft
here is one of our early examples: https://github.com/hofstadter-io/hof/blob/_dev/flow/chat/pro...
What are some alternatives?
langchain - β‘ Building applications with LLMs through composability β‘ [Moved to: https://github.com/langchain-ai/langchain]
cue - The home of the CUE language! Validate and define text-based and dynamic configuration
openai-cookbook - Examples and guides for using the OpenAI API
smug - Session manager and task runner for tmux. Start your development environment within one command.
BetterChatGPT - An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)
ping-heatmap - A tool for displaying subsecond offset heatmaps of ICMP ping latency
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
go-live - ποΈ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
jk - Configuration as Code with ECMAScript
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
bashly - Bash command line framework and CLI generator