INTRODUCTION
Are you fascinated by the world of Artificial Intelligence (AI)? Do you want to dip your toes into this exciting realm but don’t know where to start? Look no further! In just 15 days, you can lay the foundation for your AI journey, regardless of your age or technical background. Let’s dive in and explore some simple and easy ways to learn AI basics.
Day 1-3: Understanding the AI Basics Before we dive into the technical stuff, let’s grasp the fundamental concepts. Imagine AI as a smart assistant – it learns from data and makes decisions. Read beginner-friendly articles, watch short videos, and check out infographics that introduce you to terms like Machine Learning, Neural Networks, and Data Science.
Day 4-6: Exploring Machine Learning Machine Learning (ML) is a key aspect of AI. Start with supervised learning – it’s like teaching a computer to recognize patterns. Linear regression and decision trees are great entry points. Interactive online tutorials can make this learning process fun and intuitive.
Day 7-9: Getting Friendly with Neural Networks Neural Networks might sound complex, but they’re the backbone of AI. Think of them as interconnected brain cells mimicking human learning. Learn about the basic structure of neural networks, especially Feedforward Neural Networks. Online platforms offer interactive visualizations that demystify this topic.
Day 10-12: Hands-on Coding Time to get your hands dirty with coding! Python is your best friend in the AI world. Explore libraries like TensorFlow and PyTorch, which make building AI models smoother. Start with simple projects like image classification or predicting house prices using ML.
Day 13-15: Real-world Applications AI is everywhere – from recommendation systems on Netflix to voice assistants like Siri. Explore how AI is used in daily life. Chatbots, image recognition, and even self-driving cars are exciting areas. Research and write a short summary about one of these applications to solidify your knowledge.
Bonus Tips:
- Stay Curious: AI evolves rapidly. Stay curious and keep learning about the latest trends.
- Online Courses: Platforms like Coursera, Udemy, and Khan Academy offer beginner AI courses.
- Join AI Communities: Engage with online forums like Reddit’s r/artificial or attend local AI meetups.
- Experiment: Don’t fear making mistakes. Experimentation is a great teacher in the AI world.
Remember, learning AI is like learning a new language – it takes time and practice. In just 15 days, you’ll have a solid grasp of AI’s basics. Who knows, you might unleash your inner AI genius sooner than you think! So, grab that digital notebook and embark on your AI adventure today. 🚀🤖
HUMAN VS AI
You’re going to be replaced by a human who knows how to use Al. Al Tools are like the smartest topper in your class. They will help you with anything you’re stuck with if you are friends with them. I don’t need to tell you how much power you can have when the class topper is on your side. However, Al Tools doesn’t talk much. They are naturally pretty shy, so unless you ask something explicitly, they won’t reply well to you. You need to become friends with Al Tools, just like I did.
Six strategies for getting better results
Write clear instructions
GPTs can’t read your mind. If outputs are too long, ask for brief replies. If outputs are too simple, ask for expert-level writing. If you dislike the format, demonstrate the format you’d like to see. The less GPTs have to guess at what you want, the more likely you’ll get it.
Tactics:
- Include details in your query to get more relevant answers
- Ask the model to adopt a persona
- Use delimiters to clearly indicate distinct parts of the input
- Specify the steps required to complete a task
- Provide examples
- Specify the desired length of the output
Provide reference text
GPTs can confidently invent fake answers, especially when asked about esoteric topics or for citations and URLs. In the same way that a sheet of notes can help a student do better on a test, providing reference text to GPTs can help in answering with fewer fabrications.
Tactics:
- Instruct the model to answer using a reference text
- Instruct the model to answer with citations from a reference text
Split complex tasks into simpler subtasks
Just as it is good practice in software engineering to decompose a complex system into a set of modular components, the same is true of tasks submitted to GPTs. Complex tasks tend to have higher error rates than simpler tasks. Furthermore, complex tasks can often be re-defined as a workflow of simpler tasks in which the outputs of earlier tasks are used to construct the inputs to later tasks.
Tactics:
- Use intent classification to identify the most relevant instructions for a user query
- For dialogue applications that require very long conversations, summarize or filter previous dialogue
- Summarize long documents piecewise and construct a full summary recursively
Give GPTs time to “think”
If asked to multiply 17 by 28, you might not know it instantly, but can still work it out with time. Similarly, GPTs make more reasoning errors when trying to answer right away, rather than taking time to work out an answer. Asking for a chain of reasoning before an answer can help GPTs reason their way toward correct answers more reliably.
Tactics:
- Instruct the model to work out its own solution before rushing to a conclusion
- Use inner monologue or a sequence of queries to hide the model’s reasoning process
- Ask the model if it missed anything on previous passes
Use external tools
Compensate for the weaknesses of GPTs by feeding them the outputs of other tools. For example, a text retrieval system can tell GPTs about relevant documents. A code execution engine can help GPTs do math and run code. If a task can be done more reliably or efficiently by a tool rather than by a GPT, offload it to get the best of both.
TOP AI TOOLS FOR LEARNING PROMPTING
- promptvine.com
PromptVine offers a vast collection of easy-to-understand prompts and resources, with categories ranging from general conversation to specialised professions like writing, art, development, and more.
- saasprompts.com
Saas stands for Software as a Service. If you’re a startup owner then this website will help you build you a better platform.
- learnprompting.org
Learn prompting is a free and open-source website designed specifically for beginners, with easy-to-follow chapters covering everything from the basics to advanced techniques of prompt engineering.
- learnPrompt.org
This website has an extensive collection of over 1500+ prompts, along with a table of various verbs and tones of voice that you can use to get more accurate and useful answers from Chat GPT.
With curated examples of prompts for different purposes, this resource is a valuable tool to enhance your prompt writing abilities.
- datafit.ai
Datafit is a community of prompt writers that offers hundreds of top Chat GPT prompts for any topic, including marketing, coding, finance, writing, gaming, and art.
It has a wide variety of copy-and-paste prompts, which makes it easy to improve your prompt engineering skills and explore new topics.
- promptbase.com
Prompt Base is an active marketplace where you can buy and sell the best prompts related to Chat GPT, DALL-E
- MIDJOURNEY
With the rise in popularity of Al models like Chat GPT, prompt engineering is going to become an in demand skill. It will play a big role for companies looking to leverage these Al models.
So, it’s better to improve your prompting skills by looking at what type of prompts of others are using.
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Disclaimer: This blog post provides a simplified overview of AI for beginners. To dive deeper, explore comprehensive resources and courses available online.