Skip to main content

Documentation Index

Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt

Use this file to discover all available pages before exploring further.

Technical implementation · AI Search Infrastructure

Definition

A foundation model is a large AI model trained on broad, general-purpose data that serves as the base for a wide range of downstream applications — including AI search, content generation, code assistance, and conversational AI. GPT-4, Claude, Gemini, and Llama are examples of foundation models. Foundation models are the infrastructure that AI search runs on. Understanding which foundation model powers a given AI search product — and how that model was trained — helps explain its citation behavior, knowledge cutoff, and areas of strength or weakness. As the foundation model landscape evolves, brands need to track not just which AI search platforms matter but which models are powering them.

Training corpus

Inference

Fine-tuning

Pre-training

LLM visibility

Relevant Plate Lunch Collective Services

AI SEO AI Search Visibility Assessment