Survey: Massive Retooling Around Large Language Models Underway``` The adoption rate of large language models is high, with nearly one in ten machine learning teams already deploying LLM applications into production and nearly half planning to do so within a year. Data privacy and accuracy concerns are major barriers to deployment, highlighting the need for better observability tools. OpenAI dominates the field, with its models being considered or used by most ML teams. Prompt engineering is becoming increasingly popular, with emerging techniques like vector databases and agents also gaining traction. Despite potential risks, there is no pause on giant AI experiments, and machine learning teams are retooling around large foundational models to ensure readiness for deployment.