AI in Production 2026 Morning Workshops Come to a Close
| Source: Mastodon | Original article
AI in Production 2026 workshops conclude with sessions on prompt engineering and LLM-driven workflows.
The morning workshops at AI in Production 2026 have concluded, covering key topics in AI production, including prompt engineering and LLM-driven workflows. As we reported on June 1, Databricks has been working on streamlining open-source LLM inference, and this morning's sessions delved into productionising with Databricks using the Medallion Architecture. The workshops also explored improving workflows with Positron and AI, as well as LLM-driven workflows in R and Python.
This matters because efficient LLM workflows and MLOps are crucial for businesses looking to deploy AI systems in production. The workshops provided attendees with practical knowledge on building and running AI systems, addressing challenges such as prompt engineering and inference infrastructure. With the increasing demand for AI adoption, these workshops offer valuable insights for professionals and organizations seeking to stay ahead in the field.
As the AI in Production 2026 conference continues, attendees can expect more in-depth discussions on AI production, including sessions on Shiny apps with AI and self-hosted inference infrastructure. With the AI Agenda 2026 conference also scheduled for later this year, the conversation around AI production and MLOps is likely to continue, driving innovation and advancements in the field.
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