DatabricksHighlights from the Databricks Community
Explore recent technical blogs from the Databricks Community focusing on building AI apps, model prompting, and data monitoring.
Google CloudGoogle Cloud launches Memorystore for Valkey, a 100% open-source key-value service
Google Cloud launches Memorystore for Valkey, a 100% open-source key-value service offering high performance and compatibility with Redis clients
Google CloudInstant snapshots: protect Compute Engine workloads from errors and corruption
Protect Compute Engine workloads with near-instant snapshots for rapid recovery
Google CloudEmerging startups working with Google Cloud to fuel the next wave of innovation
Empowering emerging startups with Google Cloud for innovation and growth.
Google CloudGenOps: learning from the world of microservices and traditional DevOps
Exploring the concept of GenOps by blending practices from microservices and traditional DevOps for generative AI applications
Apple MLOptimizing Byte-level Representation for End-to-End ASR
Algorithm proposed to optimize byte-level representation for end-to-end ASR, achieving better accuracy and error correction mechanism.
DatabricksThe GenAI Journey: How Enterprises are Progressing from General-Purpose to Custom LLMs
Exploring the evolution of GenAI in enterprises from general-purpose to custom LLMs.
DatabricksWelcome to the Data + AI World Tour 2024
Join the 2024 Data + AI World Tour for insights on cutting-edge technologies and strategies from industry experts
DatabricksWinning at GenAI: Building the right processes for the data intelligence future
Transforming businesses with GenAI processes for data intelligence
DatabricksData Engineering and GenAI: The Tools Practitioners Need
Empowering data engineering for GenAI success through reliable pipelines and tools
DatabricksData + AI Use Cases from the World’s Leading Companies
Exploring data and AI use cases from leading companies showcased at the Data + AI Summit.
MIT AIStudy: Transparency is often lacking in datasets used to train large language models
Enhancing data transparency in training large language models through a systematic audit and a user-friendly tool for improved model performance and responsible AI development.