Journal.
Documented engineering logs, systemic problem-solving, and theoretical experiments.
How Does AI Think? Part 5 — AI in the Wild: Applications, Building Blocks & the Developer's Toolkit
From theory to practice: how AI is transforming healthcare, science, code generation, and creative arts. Build your own AI-powered apps with RAG, vector databases, LangChain, and local models. Explore the open-source ecosystem, deployment strategies, and what it means to be a developer in the age of AI. Interactive demos: a RAG pipeline simulator, vector similarity search, model size calculator, AI application gallery, and a build-your-own-agent flowchart.
Presentation Demo - 5 Browser Slides
A presentation-type blog post that behaves like a mini PowerPoint in the browser. Includes 5 demo slides: hello, hi, hh, ii, jj.
Wang et al. (2024) — GenAI + TPB: Faktor Niat Mahasiswa
Presentasi 7 slide: Theory of Planned Behavior + AI Literacy untuk menjelaskan niat mahasiswa menggunakan GenAI. Attitude adalah faktor paling dominan.
How Does AI Think? Part 2 — From Neural Nets to Transformers
The deep learning revolution: backpropagation, CNNs, RNNs, word embeddings, attention, transformers, GPT, and the age of foundation models. Interactive demos include a CNN feature-map visualiser, an attention heatmap, and a live token predictor.
How Does AI Think? Part 3 — Agents, Reasoning & the Road to AGI
Reinforcement learning from Atari to AlphaGo, AI agents that use tools, reasoning models that think step-by-step, the open-source revolution, safety & alignment, and the question of AGI. Interactive demos: train a Q-learning grid agent, build a ReAct tool-use chain, explore chain-of-thought reasoning, and simulate an alignment debate.
How Does AI Think? Part 4 — Under the Hood: Tokenizers, Training & the Art of Making AI Work
Peek behind the curtain: how text becomes tokens, how embeddings capture meaning, how models are trained at scale, fine-tuned with LoRA & RLHF, optimised for inference, prompted effectively, and extended to see images and hear audio. Interactive demos: a live BPE tokenizer, embedding space explorer, quantization impact visualiser, KV-cache animation, and prompt engineering playground.
Hello World — Welcome to My Blog
A first blog post to kick things off. Why I decided to start writing and what you can expect from this space.
How Does AI Think? — From Logic Machines to Linear Regression
An interactive 750-year journey through the history of AI — from Ramon Llull's rotating discs to gradient descent. Includes hands-on demos: Boolean gates, a perceptron trainer, BFS/DFS visualization, a mini-ELIZA chatbot, live linear regression with Chart.js, and a 3D loss surface in Three.js.
Null Content
No archival records match the query.