Editing Foundation Models (section)

== <span style="color: #FFFFFF;">Creating</span> ==
Selecting and adapting a foundation model:
# Define modality and task requirements.
# Choose: proprietary API (fastest, most capable, privacy concerns) vs. open-weight (full control, on-premises, lower capability ceiling).
# Evaluate 2–3 candidate models on 100+ representative inputs from your domain.
# Adaptation strategy: prompting first (cheapest), then RAG (for knowledge), then fine-tuning (for style/format), then pre-training (only if truly novel domain).
# Monitor model provider updates — foundation models are updated without notice, potentially breaking downstream applications.

[[Category:Artificial Intelligence]]
[[Category:Foundation Models]]
[[Category:Large Language Models]]
</div>