If You Understand These 21 Terms, You’ll Understand Almost Any AI Concept
Author(s): Tina Sharma Originally published on Towards AI. The gap between people who follow AI and people who don’t isn’t intelligence. It’s 21 words. Here is something that happens a lot. You open an article about a new AI model. The first …
The Unscented Kalman Filter
Author(s): Maxwell’s Demon Originally published on Towards AI. State estimation for a nonlinear system Every system that evolves with time has a state which is the set of quantities that describe it at a given moment. Examples are the position and velocity …
TOON: Beyond JSON for LLMs
Author(s): Sourav Ghosh Originally published on Towards AI. Is JSON Finally Getting a Token-Efficient Alternative for LLMs? For years, JSON has been the default language for APIs, integrations, configuration files, event payloads, and all other types of application-to-application communications. It is an …
7 Essential AI Agent Design Patterns
Author(s): Zoumana Keita Originally published on Towards AI. From Lone Models to Collaborative Systems: A Strategic Guide to Agentic Orchestration The world of AI is moving fast. We’ve gone from simple chatbots to AI Agents that can actually get things done. In …
How Local-First AI Architectures Address Compliance and Data Pipeline Issues in Modern Enterprises
Author(s): Isaac Mcfadden Originally published on Towards AI. How Local-First AI Architectures Address Compliance and Data Pipeline Issues in Modern Enterprises The enterprise AI agent I trust is not the flashiest demo. It is the one I can audit after it touches …
Prompt Caching Is the Most Underrated Cost Optimization in LLM Systems
Author(s): Satyam Sahu Originally published on Towards AI. I cut my API spend by 70% without changing a single model call. Here’s the architectural decision that made it possible. You’re probably doing cost optimization wrong. Photo by cottonbro studio on Pexels | …
Statistics Concept — The Birthday Paradox: A Conditional Probability Perspective
Author(s): Chao De-Yu Originally published on Towards AI. Why shared birthdays emerge much earlier than intuition suggests — via conditional probability, interactions, and Monte Carlo simulation in Python In probability, some results feel so counterintuitive that they almost seem wrong at first …
Stop Paying for API Keys: How to Build with Free and Fast LLMs
Author(s): Shreyas Naphad Originally published on Towards AI. Build, break and iterate without paying for a single mistake If you’re someone like me who regularly builds AI projects, you've likely faced the problem of API costs. I mean, it’s really disappointing when …
How Transaction Network Analysis Catches Laundering Patterns that Rule-Based Systems Miss
Author(s): Bhavesh Awalkar Originally published on Towards AI. How Transaction Network Analysis Catches Laundering Patterns that Rule-Based Systems Miss Money laundering moves an estimated $800 billion to $2 trillion through the global financial system every year. In the United States, financial institutions …
Sizing AI/ML Projects: A Repeatable Method That Tracks Reality
Author(s): Konrad “Stellars” Jelen Originally published on Towards AI. Sizing AI/ML Projects: A Repeatable Method That Tracks Reality Not the perfect estimate – a practical, repeatable methodology that has held up surprisingly well against what projects actually cost Why I am sharing …
The MLOps Component Nobody Builds in Their Portfolio (And Why It Matters Most)
Author(s): EMMANUEL NWANGUMA Originally published on Towards AI. The MLOps Component Nobody Builds in Their Portfolio (And Why It Matters Most) Most ML engineers know what a feature store is. Almost none have built one. Here’s everything I learned doing it from …
6 AI Terms Everyone Uses Right Now, But Almost Nobody Can Actually Explain
Author(s): Divy Yadav Originally published on Towards AI. Understanding these six concepts puts you ahead of most people learning AI in 2026. Most people can use words like RAG, embeddings, and context window in a sentence. Photo from ChatGPTThe article argues that …
Full-Stack Data Scientists for the Agentic Coding World
Author(s): Michael Shapiro MD MSc Originally published on Towards AI. The Next Evolution of Data Teams For years, building data products required a chain of specialists: data engineers, data scientists, software engineers, ML engineers, MLOps teams, and product managers. This specialization enabled …
Inside Palantir AIP: How the World’s Most Controversial AI Platform Actually Works
Author(s): Akash Dogra Originally published on Towards AI. Inside Palantir AIP: How the World’s Most Controversial AI Platform Actually Works Ontology-Augmented Generation, Apollo’s air-gapped deployments, and the k-LLM routing architecture — a deep technical teardown. This photograph taken on January 19, 2023 …
Stop Paying for ChatGPT: Your Laptop Can Run Powerful AI for Free
Author(s): Hartarto Originally published on Towards AI. The complete beginner’s guide to running powerful AI models locally — and becoming a power user in under a weekend. “What if I told you that the same kind of AI powering ChatGPT can run …
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