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Discoverability surfaces
Parameter-efficient fine-tuning method that adds small low-rank matrices to a frozen base model. Instead of updating billions of parameters, LoRA updates only a few million — typically 0.1%–1% of the original model. Inference can then mix-and-match LoRAs at runtime. Standard tooling on Hugging Face's PEFT library; default choice for fine-tuning open-weight models like Llama, Mistral, and Qwen.
Programmatic SEO, AEO, GEO, AIO, and the schemas behind them.
A content strategy that generates hundreds or thousands of search-optimized pages from structured data using templates.
The practice of structuring website content so that AI assistants and large language models (LLMs) can accurately cite it when answering user questions.
An open protocol that allows websites to notify search engines (Bing, Yandex, Seznam, Naver, and others) about new or updated content in real time.
Structuring content so that answer engines — Google's People-Also-Ask, Reddit pull-quotes, Quora top answers, ChatGPT search results, Perplexity citations — can extract a complete, self-contained answer in 40–80 words.
The subset of GEO/AEO targeted specifically at Google's AI Overviews (formerly SGE).
A Schema.
JavaScript Object Notation for Linked Data — the W3C-standard syntax for embedding structured data in web pages.
A Schema.
This definition is published under CC BY 4.0. Cite as:
The Data Nerd. "LoRA (Low-Rank Adaptation)." VC Deal Flow Signal Glossary, https://signals.gitdealflow.com/define/lora.
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