engblogs

Scaling App Store search relevance by augmenting the ranker with fine-tuned LLM-generated textual judgments to complement behavioral signals, improving offline NDCG and online conversion as shown in A/B tests.

TabPFN AI accelerates business transformation on Databricks by delivering production-grade, seconds-fast predictions on structured data with a pre-trained, ready-to-use model, reducing preprocessing and retraining within a governed Lakehouse and scalable ML workflows.

Databricks at MWC 2026 showcases how telecoms turn fragmented data into real-time, AI-powered decisions across marketing, network investment, and customer care via a unified data platform and a forward-looking data strategy.

Leverages a top-down, retrieval-augmented generation pipeline with LLMs to deliver cohesive, personalized Shopping Hub recommendations at scale, spanning design, evaluation, and ranking.

A practical blueprint for COBOL modernization on the mainframe that combines AI-assisted reverse and forward engineering with deterministic, platform-aware analysis to deliver traceable and production-ready results at scale across large enterprise portfolios.

RAG-powered Dash retrieves enterprise context and grounds answers, while a hybrid human-in-the-loop and LLM-assisted labeling approach scales relevance judgments to train its search ranking models for improved enterprise search relevance.

Serving Iceberg lakehouses data fast and fresh at scale with Spanner's columnar engine to deliver real-time analytics and hybrid OLTP workloads.

PayPal’s historic, multi-petabyte migration to BigQuery creates a unified, AI-ready data platform that accelerates real-time insights and enables gen AI–driven innovation across payments, fraud prevention, and customer experiences.

A concise overview of AWS's Large Model Inference container updates, highlighting LMCache-based long-context caching, EAGLE speculative decoding, expanded model support, and streamlined LoRA hosting to reduce latency and cost in large-scale LLM deployments.

Explores reinforcement fine-tuning (RFT) for Amazon Nova across Bedrock, SageMaker, and Nova Forge, detailing data preparation, reward design, and practical guidance for evaluation-based model customization.

A collaboration between Pacific Northwest National Laboratory and OpenAI to accelerate federal permitting through AI-driven workflows and regulatory analytics.

Nano Banana 2 speeds pro-level image generation and editing with real-time information, 4K upscaling, native text rendering, and enterprise-grade transparency via SynthID and C2PA, enabling seamless, scalable workflows in Vertex AI.