Awesome-Prompt-Engineering
datasette
Awesome-Prompt-Engineering | datasette | |
---|---|---|
9 | 187 | |
3,212 | 8,955 | |
4.0% | - | |
5.8 | 9.3 | |
about 2 months ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome-Prompt-Engineering
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AI lessons
Yes, there are a lot of different resources online, especially for generative AI. The Awesome Prompt Engineering github is probably a good place to start https://github.com/promptslab/Awesome-Prompt-Engineering. If you're focusing directly on OpenAI's models then the OpenAI Prompt Engineering Guide would be my recommendation https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api.
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Übersicht aller nützlichen Links für ChatGPT Prompt Engineering
Awesome-Prompt-Engineering
- Cách sử dụng ChatGpt
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Not by AI
For AI art generation, a good starting point are AI prompt libraries to see results of good prompts.
[0] - https://github.com/promptslab/Awesome-Prompt-Engineering
- Research
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A Comprehensive Guide & Hand-Curated Resource List for Prompt Engineering and LLMs on Github
Resource list: https://github.com/promptslab/Awesome-Prompt-Engineering
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[D] A Comprehensive Guide & Hand-Curated Resource List for Prompt Engineering and LLMs on Github
Here you will find: - 📄 Papers in different categories such as Prompt Engineering Techniques, Text to Image Generation, Text Music/Sound Generation, Text Video Generation etc. - 🔧 Tools & code to build different GPT-based applications - 💻 Open-Source & Paid APIs - 💾 Datasets - 🧠 Prompt-Based Models - 📚 Tutorials from Beginner to Advanced level - 🎥 Videos - 🤝 Prompt-Engineering Communities and Groups for discussion Resource list: https://github.com/promptslab/Awesome-Prompt-Engineering We hope it will help you to get started & learn more about Prompt-Engineering. Prompt-Engineering Course: We are launching a free and open-source Prompt-Engineering Course Soon. Join our discord for Prompt-Engineering, LLMs and other latest research discussions https://discord.com/invite/m88xfYMbK6
datasette
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Ask HN: High quality Python scripts or small libraries to learn from
Simon Willison's github would be a great place to get started imo -
https://github.com/simonw/datasette
- Show HN: TextQuery – Query and Visualize Your CSV Data in Minutes
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Little Data: How do we query personal data? (2013)
I'm a fan on simonw's datasette/dogsheep ecosystem https://datasette.io/
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LaTeX and Neovim for technical note-taking
I use Anki the exact same way. After a lifetime of learning I have accepted that I will never read over anything I write for myself voluntarily - so my two options are:
1. Write an article so good I can publish it and look it over myself later on. I did this last year with https://andrew-quinn.me/fzf/, for example.
2. Create Anki cards out of the material. Use the builtin Card Browser or even https://datasette.io/ on the underlying SQLite database in a pinch to search for my notes any time I have to.
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Daily Price Tracking for Trader Joes
Were you aware of, or tempted by https://datasette.io/ for creating your solution?
- SQLite-Web: Web-based SQLite database browser written in Python
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Ask HN: What two software products should have a kid?
Browsing HN, GitHub and the like we get to see a huge variety of software products and code bases.
I often see products and think - if this product X, got together with Y, it would be pretty cool - kind of like if they had a kid together.
Not too literally, but more on the conceptual level - my level of programming is low.
E.g. Just some....
- pocketable.io & datasette (+with some more charting) [https://pocketbase.io, https://datasette.io]
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Ask HN: Looking for a project to volunteer on? (February 2024)
You might like the Datasette project: https://datasette.io/
I don't think they are desperate for contributions but it's a welcoming environment and a fun project to hack on. You'll learn a lot just from reading the source and the incredibly informative PRs. The creator is a really talented developer with a great blog which shows up on the HN front page often.
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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What We Watched: A Netflix Engagement Report – About Netflix
> uploads of boring raw excel data and receive a nice UI
https://datasette.io/
What are some alternatives?
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%
nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative
awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
MagicPrompt - Prompt Generator for Stable Diffusion/Midjourney on GPT-2 models
sql.js-httpvfs - Hosting read-only SQLite databases on static file hosters like Github Pages
chatoverflow - Empowering Developers with ChatGPT: The Ultimate Code Generator for Faster, Smarter Coding
litestream - Streaming replication for SQLite.
Awesome-LLMOps - An awesome & curated list of best LLMOps tools for developers
Sequel-Ace - MySQL/MariaDB database management for macOS
Prompt-Engineering-Guide - 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.