AI & ML
Neural nets, LLMs, recommendations, image generation, and the machine logic underneath.
How AI Translation Works
AI translation systems convert meaning between languages by predicting the most probable target sentence from context, not by replacing words one by one. Modern systems use neural networks that weigh grammar, idioms, and domain cues to produce fluent output at scale.
How A/B Testing Works
A/B testing helps teams compare two versions of a product decision with real user behavior instead of opinion. By randomly splitting traffic, teams can measure whether a change improves a target metric or just looks better in a meeting.
How Distributed Training Works
Training a frontier language model requires tens of thousands of GPUs working in concert. Distributed training is the engineering discipline that makes that possible, and it is as challenging as training the model itself.
How Autonomous Agents Work in AI
Give a language model the ability to use tools, browse the web, write and run code, and call other agents, and it stops being a chatbot and starts being something that can act in the world. Here's how autonomous AI agents actually work, and where they still fail.
How Function Calling Works
When an AI needs to check real-time data or take action outside its conversations, it uses function calling. This is the specific technical mechanism that lets language models output structured commands for external systems.
How Model Distillation Works
A 175-billion-parameter model knows a lot. Model distillation is the process of compressing that knowledge into a model a hundred times smaller, without losing most of what makes it useful.
How Chain of Thought Works
When you ask an AI to solve a complex problem, it often shows its work step by step. That reasoning does not happen automatically. Chain of thought is a prompting technique that forces the model to reason explicitly, and it changes the quality of answers entirely.
How Neural Networks Learn
A neural network starts as pure noise, random numbers that produce garbage. Through millions of iterations of making predictions, measuring mistakes, and nudging weights in the right direction, it learns. Here's exactly how that process works.
How AI Tool Use Works
When you ask an AI to check the weather or book a flight, it does not actually use apps. It generates structured data that tells another system what to do. Here is how AI tool use actually works.
How AI Hallucinations Happen
AI systems confidently state things that are completely false. This isn't a bug that will be patched , it's a structural consequence of how language models work. Understanding why hallucinations happen changes how you use these tools.
How Agent Memory Works
An AI agent that forgets everything after each conversation is like a doctor who can't remember any of their patients. Memory systems let AI agents carry context across sessions, learn from past actions, and get better over time.
How AI Guardrails Work
AI guardrails are the rules that stop language models from saying harmful things. They work by intercepting prompts, checking them against safety guidelines, and redirecting or blocking dangerous outputs before they reach the user.