InAWS in Plain EnglishbyRam VegirajuDocument Summarization Simplified Using Claude 3.5 SonnetTackling Popular LLM Use-Cases Utilizing Amazon BedrockSep 17Sep 17
InAWS in Plain EnglishbyRam VegirajuImage To Text With Claude 3 SonnetExploring The New Claude Model On Amazon BedrockMar 52Mar 52
InAWS in Plain EnglishbyRam Vegirajure:Invent 2023 AI/ML LaunchesMy personal overview of some of the key launches this yearDec 4, 2023Dec 4, 2023
InTowards Data SciencebyRam VegirajuDeploying Large Language Models With HuggingFace TGIAnother way to efficiently host and scale your LLMs with Amazon SageMakerJul 14, 20231Jul 14, 20231
InAWS in Plain EnglishbyRam VegirajuHosting Large Language Models With Amazon BedrockA Simplified serverless approach to LLM hostingOct 12, 2023Oct 12, 2023
InAWS in Plain EnglishbyRam VegirajuIntegrating LangChain with SageMaker JumpStart to Operationalize LLM ApplicationsBuilding LLM-Driven WorkflowsOct 2, 20232Oct 2, 20232
InTowards Data SciencebyRam VegirajuHost Hundreds of NLP Models Utilizing SageMaker Multi-Model Endpoints Backed By GPU InstancesIntegrate Triton Inference Server With Amazon SageMakerSep 22, 2023Sep 22, 2023
InTowards Data SciencebyRam VegirajuDebugging SageMaker Endpoints With DockerAn Alternative To SageMaker Local ModeJun 16, 2023Jun 16, 2023
InTowards Data SciencebyRam VegirajuDeploying LLMs On Amazon SageMaker With DJL ServingDeploy BART on Amazon SageMaker Real-Time InferenceJun 7, 2023Jun 7, 2023
InAWS in Plain EnglishbyRam VegirajuDeploy An MLOps Pipeline With Training, Model Registry, and Batch InferenceHarness SageMaker Pipelines With Batch InferenceMay 10, 20231May 10, 20231
InTowards Data SciencebyRam VegirajuDeploying Multiple Models with SageMaker PipelinesApplying MLOps best practices to advanced serving OptionsMar 23, 2023Mar 23, 2023
InTowards Data SciencebyRam VegirajuDeploying SageMaker Endpoints With TerraformInfrastructure as Code With TerraformMar 14, 2023Mar 14, 2023
InTowards Data SciencebyRam VegirajuLoad Testing Simplified With SageMaker Inference RecommenderTest TensorFlow ResNet50 on SageMaker Real-Time EndpointsMar 7, 2023Mar 7, 2023
InTowards Data SciencebyRam VegirajuLoad Testing SageMaker Multi-Model EndpointsUtilize Locust to Distribute Traffic Weight Across ModelsFeb 24, 2023Feb 24, 2023
InAWS in Plain EnglishbyRam VegirajuSageMaker ExperimentsOrganizing and Tracking your ML Training and ExperimentationJan 6, 2023Jan 6, 2023
InTowards Data SciencebyRam VegirajuDeploying SageMaker Endpoints With CloudFormationInfrastructure As Code With SageMakerAug 16, 20221Aug 16, 20221
InTowards Data SciencebyRam VegirajuPushing Docker Images to Amazon Elastic Container RegistryStep by Step GuideJul 15, 2022Jul 15, 2022
InTowards Data SciencebyRam VegirajuAWS Lambda Function URLsServerless made easier than everJul 14, 2022Jul 14, 2022
InTowards AWSbyRam VegirajuAmazon Rekognition Custom LabelsEnd-to-End Example Utilizing Rekognition Custom Labels for Image ClassificationJul 12, 2022Jul 12, 2022
InTowards Data SciencebyRam VegirajuSageMaker Batch TransformGenerate large offline predictions with an Sklearn exampleApr 25, 20221Apr 25, 20221
