PS: These are notes from my study/review mostly from AI learning mode. Core Concepts Neuron = weights + bias + activation function. Weights: Measure how much each input matters. Bias: Shifts the threshold a neuron needs to “fire.” Activation function: Provides non-linearity, letting networks learn curves, not just straight lines. Single Neuron Example Compute the raw sum: $$ z = w_1x_1 + w_2x_2 + … + b $$. Apply activation (e.

AI and LLMs: Useful, But More Code Isn’t Always the Solution The rise of AI and large language models (LLMs) has made writing code easier and more accessible than ever before. With a few prompts, developers can generate boilerplate, automate repetitive tasks, and even solve complex problems. This is a remarkable leap in productivity and creativity. However, it’s important to remember that code itself is not the solution—at least, not always.

What Does It Mean to Be Intelligent? LLMs: Word Calculators or Something More? Large Language Models (LLMs) like GPT-4 are often described as “word calculators”: They don’t have an inherent understanding of the world. They can’t reason in the human sense. They can’t set their own goals or desires. Yet, from the seemingly simple objective of next-word prediction, we’ve seen a host of emergent properties. LLMs can: Write code and poetry Summarize complex documents Pass professional exams Hold conversations that feel intelligent These capabilities make LLMs appear very intelligent, even if their underlying mechanism is just statistical pattern matching.

What is Ollama? Ollama is a platform that makes it easy to run large language models (LLMs) like Llama, Gemma, Mistral, and many others on your local machine. It provides a simple interface for downloading, running, and interacting with these models directly from the terminal or via API, without relying on cloud services. This is especially useful for developers who want privacy, speed, and full control over their AI workflows.