What Is a Foundation Model? How It Differs From an LLM
A foundation model is a large AI model pre-trained on broad data and adapted to many tasks. Learn how it differs from an LLM, what risks it carries, and how to choose one.
Artificial Intelligence
AI tools, marketing with ChatGPT and Gemini, GEO and visibility in AI search.
118 posts
What Is a GAN? Generative Adversarial Networks Explained
A GAN trains two neural networks against each other so one learns to create realistic data. See how it works, why training is hard, and how it compares to diffusion models and VAEs.
What Is Model Collapse? What Happens When AI Trains on Its Own Data
Model collapse is the loss of diversity when AI models train generation after generation on AI-made data. We explain the mechanism, the link to synthetic data, and ways to prevent it in plain language.
What Is Chunking? How to Split Documents for RAG
Chunking splits long documents into meaningful pieces an AI system can search. We explain strategies, the chunk size trade-off, metadata, table and PDF problems, and a checklist.
What Is Context Engineering? Beyond Prompt Engineering
Context engineering is the discipline of choosing what an AI model sees at every step. We explain how it differs from prompt engineering, its components, and a checklist for business chatbots.
What Is a World Model? How AI Learns to Predict Its Environment
A world model lets an AI system learn how its environment works and predict the outcome of its actions. We explain how it differs from language models, where it helps, and where it falls short.
What Is AI Red Teaming? Testing AI Systems Like an Attacker
AI red teaming means deliberately pushing an AI system, before and after launch, to find harmful, wrong or unsafe behavior. Scope, steps and a checklist inside.
What Is Data Poisoning? How It Attacks AI Training and RAG Data
Data poisoning is an attack that slips corrupted records into the data an AI system learns from or reads. Learn the types, the risks, and the defenses in plain language.
What Are LLM Evals? Measuring AI Output and LLM-as-a-Judge
LLM evals measure AI output against a defined test set. Learn golden datasets, criteria, judge model biases, and how evals differ from benchmarks in plain language.
What Is a Reranker? How Reranking Works in RAG Search
A reranker rescores the candidate documents from a first search by reading each one together with the question. Here is how it works, when you need it, and what it costs.