LLM architecture, prompting, fine-tuning, and enterprise use cases.
Enterprise teams are deploying natural-language analytics at record pace — and hitting the same wall. A VP asks “What was net revenue by region last quarter?” in plain English. The LLM writes SQL that runs without errors, returns plausible numbers, and is completely wrong. The join was on the wrong…
Retrieval-Augmented Generation (RAG) has become the default architecture for AI applications that need to answer questions from proprietary documents, product manuals, support tickets, and internal knowledge bases. Search demand for how to build RAG pipeline systems grew more than 60% year over year…
A McKinsey report from early 2025 found that 62% of enterprise data teams have already integrated large language models into at least one stage of their analytics workflow. Meanwhile, Gartner projects that by 2027, LLMs will automate 60% of data analyst tasks that were performed manually in 2023. Th…