Step-by-step guide: How to get started with AI as a beginner
Starting your AI journey can be both exciting and overwhelming. Here's a comprehensive, easily readable guide to help you get started:

The path to becoming proficient in AI is similar to becoming a good developer, with an added layer of creativity. Instead of just following a set curriculum, immerse yourself in projects that interest you and explore the underlying math if necessary.

1. Write a project list
Start by writing down a list of projects you would like to build. This helps you focus on practical applications and keeps you motivated.

2. Become a good programmer
Learn Python: Python is the most popular language for AI due to its simplicity and extensive libraries.
Shell Scripts: Understanding basic shell scripts can help you automate tasks and manage environments effectively.
Explore cloud platforms: Get familiar with AWS (Amazon Web Services) and GCP (Google Cloud Platform). These platforms provide powerful tools and services for AI development.

3. Understand the basics of tool creation/Create a basic prototype
Hugging Face: Start with Hugging Face, a popular library for working with large language models (LLM). It is user-friendly and has a strong supportive community. Use Jupyter Notebook – This interactive tool is excellent for creating and testing AI models. It lets you write code, visualize data, and document your process all in one place.

4. Iterate and improve
Play with the data and prompts. Experiment with different datasets and modify your prompts to improve your model's performance. It’s in this iterative process that your creativity shines. Even small changes in the wording of your prompts can lead to significant improvements in your model's output.

Make sure your understanding of the problem is clear. This helps you know when you have achieved your goal.
Evaluating AI models can be subjective. Trust your understanding of the problem to guide you.

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