A simple arbitrary smart contract order system. For practicing use of Enums, arrays, mappings and structs. From Lesson 5 of my prompt-learning journey into web3.
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Updated
Apr 13, 2024 - JavaScript
A simple arbitrary smart contract order system. For practicing use of Enums, arrays, mappings and structs. From Lesson 5 of my prompt-learning journey into web3.
A simple asset management smart contract. Suitable for beginners. I spent much time away from my studies of solidity and web3, so I created a refresher sylibus with the help of chat Gpt, which includes several lessons with written and coding assignments. This is the assignment from Lesson 2.
In this repository I have explained the application of Large Language Models (LLMs). Starting from how to use LLMs in our own application till how to build a LLM.
Work based on the latest prompt learning paradigm with LLMs
Add an idea for a movie, and OPEN AI will generate a unique synopsis, title, and star names for you.
Promptopia is an open-source AI prompting tool for modern world to discover, create and share creative prompts - built using NextJs, ReactJs and Tailwind CSS with MongoDB, Express and NextAuth for authentication.
Archive of Prompt Engineering🚀
Now deployed to zkSync and Base main and testnets. A Basic nextJs front end for my EthWallet smart contract from lesson 3 and 4 of my course sylibus.
Annotate anything
Data Science Prompts
ChatGPT Prompt Engineering for Developers in Korean
we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.
A python tool for evaluating the quality of few-shot prompt learning.
Welcome to the Prompt Engineering Learning Experiments repository! This collection serves as a dynamic platform for in-depth exploration and experimentation with prompt-driven code learning. You can explore and try out different coding experiments that are made just for learning.
Code for our TMLR '24 Journal: MMD-Regularized UOT.
[CSCWD'23] Detecting Clickbait in Chinese Social Media by Prompt Learning
GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.
Prompt Framework, bietet Struktur für die Definition Mission, Kontexts, er Regeln, Anweisungen, erwarteten Eingabe, Ausgabeformats und der Beispielausgabe. Framework bietet eine allgemeine Struktur, die zu befolgen ist, soll aber auch dazu anregen, eigene Prompts zu schreiben
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