Tools, Trade-offs, and Trust in Modern AI Development The latest research and releases highlight a shift from pure capability toward practical tooling, reliability metrics, and nuanced alignment. Developers are getting new ways to tune models, measure efficiency, and question long-held assumptions about how AI "should" be safe or reliable. Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI What happened: AWS and Databricks now integrate Unity Catalog with SageMaker AI, enabling fine-tuning of LLMs with governed data access. Why it matters: This gives developers a compliant, streamlined path to customize models using enterprise data without moving it out of their governance layer. Context: It bridges a key gap for regulated industries wanting to use proprietary data for fine-tuning.…