Eneas Lari
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Blog | EneasLari
What Makes a Good AI Problem?
13/8/2026
Artificial intelligence is powerful, but that does not mean every problem should be solved with AI. In many situations, a simple rule, a spreadsheet formula, or basic automation can solve the problem faster, more cheaply, and more reliably. A good AI project begins by asking a more important question than “How can we use AI?” The better question is: “Does this problem actually need AI?”
The Complete AI Development Pipeline: From Idea to Deployed AI System
13/8/2026
Artificial intelligence can sometimes look like magic. You give a computer thousands of examples, train a model, and suddenly it can recognize spam emails, detect defects in products, analyze medical images, or answer questions about documents.
How Machines Learn From Data
16/7/2026
Computers are often described as machines that follow instructions. In traditional programming, a developer writes rules that tell a computer exactly what to do. For example, a programmer might create a rule stating that an email should be marked as spam when it contains certain suspicious words.
AI, Machine Learning, Deep Learning, and Generative AI
30/6/2026
Artificial intelligence can sound like a giant robot brain hiding behind a glowing screen. People talk about AI, machine learning, deep learning, neural networks, generative AI, large language models, computer vision, and natural language processing as if they are all the same thing.
