A practical guide to adding memory to AI agents, covering short-term and long-term memory concepts, trace analysis, and how LangSmith's tools enable a complete memory loop for agent improvement across runs.

NVIDIA NeMo AutoModel builds on HuggingFace Transformers v5, adding Expert Parallelism, DeepEP fused all-to-all dispatch, and TransformerEngine kernels to achieve 3.4-3.7x higher training throughput and 29-32% less GPU memory for fine-tuning MoE models, with no API changes.

Databricks has been recognized as a Leader in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and Machine Learning, positioned highest in Ability to Execute and furthest in Completeness of Vision. This reflects the market shift from model building to deploying agentic applications at scale, emphasizing unified data, AI, and governance.