I have just released another blog post with some of the most popular generative AI projects:
The projects in this article I found after publishing the article but they are so exciting that I thought I’ll share them too.
Let’s get started! 👇
Project 1- PromptPerfect: Make Prompts Better with LLMs
Making good prompts can be hard – a great prompt helps create amazing AI-made content. 🤖 But don’t worry, PromptPerfect is here to help!
This handy tool makes prompt-making easier by automatically fixing your prompts for ChatGPT, GPT-3.5, DALL-E 2, StableDiffusion, and MidJourney. 🛠️
If you’re a prompt creator, writer, or AI builder, PromptPerfect makes fixing prompts simple and easy. With a user-friendly design and strong features, PromptPerfect brings out the best in LLMs and LMs, giving you great results every time. 🌟
Say bye to bad AI-created content and hello to perfect prompts with PromptPerfect! 👋
👉 Link: https://promptperfect.jina.ai/
Project 2 – BabyAGI GitHub
This Python code is a simple version of an AI-run task manager. It uses OpenAI and Chroma to make, sort, and do tasks. The main thought is that it makes tasks from earlier tasks and a set goal.
The code then uses OpenAI’s language skills to make new tasks based on the goal, and Chroma to keep and find task results for understanding. This is a simpler form of the first Task-Driven Autonomous Agent.
Project 3 – Camel
Fast progress in chat-based language models helps solve hard tasks. But, they need people to help guide the chat, which can be hard and slow. 🐢
This paper looks at making it easier for chat helpers to work together and understand their thinking. 💡 They suggest a new chat helper plan called role-playing using special prompts to help chat agents finish tasks while staying in line with what people want. 🎭
They show how role-playing can make chat data to study how chat agents work and what they can do. This is helpful for learning about chat language models. 👩🔬
Their work brings a new chat helper plan, a helpful way to learn about how chat helpers work together, and shares our tools for others to use. 🌟
Project 4 – Grade School Math
Top language models can do many things as well as people, but they still have a hard time with step-by-step math thinking. 🧮 To find out why they fail and help research, this repository shares GSM8K, a set of 8.5K well-made and different grade school math word problems. 📚
Even the biggest models don’t do well on these tests, even though the problems seem simple. 😕
This project tries to fix this!
Project 5 – AI Tutor
An AI tutor is a type of educational technology that uses artificial intelligence algorithms and machine learning techniques to provide customized and personalized learning experiences to students.
It can assess a student’s comprehension level, identify their strengths and weaknesses, and provide appropriate feedback and guidance in real-time. AI tutors can be implemented in various educational settings, including K-12 schools, universities, and online courses.
This tool focuses on teaching Python as an example.
Project 6 – AutoGPT in Your Browser
This runs the famous AutoGPT in the browser – but you must log in and you must provide your OpenAI API key.
👉 Recommended: What is AutoGPT and How to Get Started?
If you haven’t already, definitely download our free OpenAI cheat sheet teaching you the Python commands to use OpenAI in your own projects as a programmer:
💡 Recommended: Python OpenAI API Cheat Sheet (Free)
If you’re not a coder but a prompter, check out our prompting cheat sheet too!
Emily Rosemary Collins is a tech enthusiast with a strong background in computer science, always staying up-to-date with the latest trends and innovations. Apart from her love for technology, Emily enjoys exploring the great outdoors, participating in local community events, and dedicating her free time to painting and photography. Her interests and passion for personal growth make her an engaging conversationalist and a reliable source of knowledge in the ever-evolving world of technology.