Applied LLMs is focused on bridging the gap between AI research and real-world production systems. We publish practical insights, step-by-step playbooks, and research highlights to help engineering teams deploy large language models effectively.
What we do
- Insights — concise analyses of production LLM patterns, drawn from real deployments
- Playbooks — step-by-step implementation guides for common LLM challenges
- Research highlights — curated coverage of applied AI research that matters for practitioners
Our approach
We prioritize practical, battle-tested knowledge over theoretical overviews. Every piece we publish is informed by production experience and designed to be actionable.
Work with us
We're always looking for experienced practitioners to contribute insights and playbooks. If you're building with LLMs in production and want to share what you've learned, get in touch.
Privacy
Applied LLMs does not use tracking cookies or third-party analytics. We collect email addresses only when you explicitly subscribe to our newsletter. We do not sell or share your information.
Terms
Content published on Applied LLMs is provided for informational purposes. While we strive for accuracy, we make no warranties about completeness or suitability for any particular use case. Use the information at your own discretion.