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Historical market data usually arrives as a completed dataset. That's convenient for analysis, but very different from the way trading software experi
When a product has a single checkout, payment logic is usually simple: charge the user, mark the order as paid, and move on. But once the business mod
Have you ever wondered how a computer can recognize a handwritten number, predict whether an email is spam, recommend a video, or understand a sentenc
Most of the data you work with is really about relationships. A customer belongs to an account. An incident affects a service. An engineer owns a repo
Discord bots can look surprisingly complicated when you see them in action. A bot can respond to messages, tell stories, remember parts of conversatio
Whether you're designing robotics, analyzing fluid dynamics (CFD), or working through complex engineering data, learning to code is one of the most ef
For data science leaders and product managers who are overseeing multi-model gateways, the standard regression approach to measuring model quality is
Tracking flood risk takes one unglamorous but essential thing: clean and structured data. In this tutorial, you'll build a data pipeline yourself. You
In this tutorial, I’ll show you how to serve a multi-user local AI agent as a REST API using FastAPI, then add a lightweight Streamlit UI on top. Inst
In this tutorial, I'll show you how to evaluate a local AI agent with a simple, repeatable evaluation harness. The harness runs the agent against a se
Have you been wanting to learn how to code but found it a bit too overwhelming or confusing? We just published a brand new course on the freeCodeCamp.
A randomized A/B test is the cleanest form of product experiment available. The coin flip that splits users between the new prompt template and the co
In this tutorial, I'll show you how to build a multi-agent AI system in Python with no orchestration framework. We'll also implement this in LangGraph
When a CEO buys shares after their company’s stock has fallen hard, it's tempting to read the purchase as a vote of confidence. The person running the
Your LLM product experiment just came back positive, with a promising 8-percentage-point lift in task completion. You ship the feature and leadership
In this tutorial, I'll show you how to build a local AI agent with tool calling and short-term memory using LangChain v1, Ollama, Qwen, and Python. Th
In this tutorial, I'll show you how to build a private local RAG-powered Q&A AI agent for your personal documents using LangChain v1, Ollama, Qwen, an
Your AI product experiment reaches statistical significance on day 14 of a planned 30-day run, measuring a causal inference question: did the LLM-base
Your team ships an intelligent query-routing feature for an LLM SaaS platform. The feature reads each incoming request in real time and decides whethe
Imagine opening your laptop and writing code that follows the laws of Quantum Physics. Sounds like science fiction, right? That's exactly what I thoug