What is Unified AI Framework?PlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT
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Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWUnified AI FrameworkAll>Unified AI FrameworkTry Databricks for freeGet StartedUnified Artificial Intelligence or UAI was announced by Facebook during F8 this year. This brings together 2 specific deep learning frameworks that Facebook created and outsourced - PyTorch focused on research assuming access to large-scale compute resources while Caffe focused on model deployment on Android and Raspberry Pi devices. Unlike the narrow scope of Facebook’s Unified AI, Unified Analytics is a category of solutions that look at the entire lifecycle of AI - all the way from preparing datasets, feature engineering, model development, training, to deployment of models into production. It truly unified data with AI throughout the dev-to-production lifecycle. Databricks’ Unified Analytics Platform powered by Apache Spark enables organizations to accelerate innovation by bringing together data and AI technologies, improving collaboration between data engineers and data scientists, and making it simpler to prepare data, train models, and deploy them into production. Databricks platform lets data scientists choose from a broad set of AI frameworks - Spark MLlib, TensorFlow, Pytorch, Caffee2 and others.Additional ResourcesUnified Approach to Interpret Machine Learning Model: SHAP + LIMEOn-Demand Webinar: Geospatial Analytics and AI in the Public SectorBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers
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