Context window The context window (also referred to as context length, context size, or context limit) is the maximum amount of information—measured in tokens—that a large language model can process in a single request. Think of it as the model’s “working memory” for a specific conversation or task. Everything you provide as input, plus everything…
Eighty-five percent of organizations are actively experimenting with AI agents, yet only 5% have successfully moved them into production. According to a Cisco survey of major enterprise customers, this gap is not an anomaly. Research from Anaconda and Forrester indicates that 88% of enterprise AI agent pilots fail to reach production, a trend corroborated by…
A developer clones a repository, opens the folder in Cursor, and their machine executes arbitrary code. The mechanism is a classic implementation of CWE-426, or Untrusted Search Path. On Windows, Cursor searches the workspace root for git binaries before checking the system PATH. By placing a malicious git.exe at the root of a repository, an…
A Large Language Model (LLM) is a neural network trained on massive text data to understand and generate human language. Learn how transformers, tokens, pre-training, and alignment work—with examples like GPT, Claude, and Gemini.
AI guardrails are safety mechanisms that filter inputs, monitor outputs, and enforce behavioral boundaries. Learn how rule-based filters, Constitutional AI, and runtime monitoring keep AI systems safe.
Human-in-the-loop (HITL) is an oversight pattern where humans review, approve, or intervene in AI decisions. Learn how HITL works, when it is required, and its tradeoffs.
Fine-tuning adapts a pre-trained language model for specific tasks using methods like SFT, LoRA, and RLHF. Learn when to fine-tune, costs, risks, and the 2026 recommended workflow.
Retrieval-Augmented Generation (RAG) is an architecture pattern that enhances a large language model’s responses by first retrieving relevant information from external knowledge sources—such as documents, databases, or APIs—and then feeding that retrieved context into the model alongside the user’s query. Rather than relying solely on what the model memorized during pre-training, RAG lets it look…
Senator Mark Warner’s AI AGENT Act targets e-commerce platforms. But if your voice assistant crosses the agent threshold, the bill’s ‘Custodial User Agent’ framework could force every smart home platform to prove it is working for you.
What Agentic Commerce Actually Means Agentic commerce represents a fundamental shift in how goods and services are bought and sold online. Instead of a human browsing a website, comparing options, and clicking “Buy Now,” an AI agent handles the entire commercial workflow — discovery, evaluation, negotiation, and payment — on behalf of the user, or…