engblogs

Dynamic Workload Scheduler optimizes resource access and economics for AI/ML workloads.

Scaling Large Language Models to zero with Ollama

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Boosting RAG-based intelligent document assistants with entity extraction, SQL querying, and agents using Amazon Bedrock.

Techniques for automatic summarization of documents using language models. Exploring extractive and abstractive summarization methods, as well as multi-level summarization.

Introducing Gemini: our largest and most capable AI model with state-of-the-art performance on multimodal benchmarks and advanced coding abilities.

Automotive giant leverages Databricks to turn data into business value and accelerate modernization efforts.

Discover the global reach of Portuguese and its diverse presence in the Americas, Africa, Asia, and Europe.

Rethinking Serverless with FLAME: A better way to elastically scale applications by wrapping any existing app code in a function and running it on a temporary copy of the app

Exploring how artificial intelligence is accelerating the auto industry's green shift through sustainable supply chains, advancements in manufacturing, AI-driven car design, intelligent charging, and the future of mobility.

Announcement of Databricks Middle East expansion and launch of Azure Qatar, providing organizations in the region with easier access to Databricks Data Intelligence Platform on Azure.

Explore how predictive AI + generative AI combine to enhance document understanding and improve user experience in financial analysis applications.