InTDS ArchivebyRam VegirajuBuilding an LLMOPs PipelineUtilize SageMaker Pipelines, JumpStart, and Clarify to Fine-Tune and Evaluate a Llama 7B ModelJan 18, 2024Jan 18, 2024
InTowards AWSbyRam VegirajuMLOPs With SageMaker Pipelines Step DecoratorAn End to End Example of Feature Engineering, Training, and Inference Simplified with new SageMaker Pipelines FeaturesJan 11, 20241Jan 11, 20241
InAWS in Plain EnglishbyRam VegirajuEvaluating Foundation/Large Language Models Using FMEval LibraryExample Implementation With Bedrock Claude for Summarization AccuracyDec 4, 2023Dec 4, 2023
InAWS in Plain EnglishbyRam Vegirajure:Invent 2023 AI/ML LaunchesMy personal overview of some of the key launches this yearDec 4, 2023Dec 4, 2023
InTDS ArchivebyRam VegirajuDeploying Cohere Language Models On Amazon SageMakerScale and Host LLMs on AWSMay 18, 2023May 18, 2023
InTDS ArchivebyRam VegirajuDockerizing Flask ML ApplicationsGuide On Deploying ML Models With Flask and Containerizing Your WorkJul 19, 2022Jul 19, 2022
InTDS ArchivebyRam VegirajuHosting Models with TF Serving on DockerDeploy TensorFlow models as REST endpointsJun 8, 2022Jun 8, 2022
InTDS ArchivebyRam VegirajuMLflow Model ServingHosting Models Locally With MLflowApr 4, 20222Apr 4, 20222
InTDS ArchivebyRam VegirajuUsing MLflow To Track Machine Learning ExperimentsAn Introduction To MLflow TrackingMar 22, 20221Mar 22, 20221
InTDS ArchivebyRam VegirajuExploring Hugging Face DatasetsAccess Large Ready Made Datasets For Your Next NLP ProjectMar 17, 2022Mar 17, 2022
InTDS ArchivebyRam VegirajuDifferent Ways To Run Bash Scripts In Your Python FileHarness Subprocess, OS, Glob, and moreJan 17, 2022Jan 17, 2022
InTDS ArchivebyRam VegirajuHow To Build An AutoML APISimple guide to building reusable ML classesDec 30, 2021Dec 30, 2021
InAnalytics VidhyabyRam VegirajuBasic ML Models Pros & Cons & Code DemosQuick refresher of core ML models with Code Demos for interviews & review.Oct 20, 20203Oct 20, 20203
InTDS ArchivebyRam VegirajuBuilding Web Applications with Streamlit for NLP ProjectsA code demonstration and explanation of the basics of Streamlit while solving NLP tasks such as Sentiment Analysis, NER, and Text…Nov 9, 20202Nov 9, 20202
InJavaScript in Plain EnglishbyRam VegirajuDeep Learning with JavaScriptAn introduction to Brain.js and example code testing its Neural Network features.Nov 12, 2020Nov 12, 2020
InTDS ArchivebyRam VegirajuUsing Notion to Organize Your Data Science LearningComes with free Data Science notes/code on various ML algorithms documented in Notion.Dec 29, 20202Dec 29, 20202
InTDS ArchivebyRam VegirajuTransitioning from Pre-Health to a Career in Data Science/TechJun 2, 2021Jun 2, 2021
InTDS ArchivebyRam VegirajuData Preparation CheatsheetCommon feature engineering/EDA tasks, compiledJun 9, 2021Jun 9, 2021
InTDS ArchivebyRam VegirajuWhy the CLI is Essential for Data ScientistsCLI examples and use cases to create more efficient Machine Learning workflowsJul 6, 2021Jul 6, 2021
InTDS ArchivebyRam VegirajuWhy Load Testing is Essential to Take Your ML App to ProductionLoad Testing a Flask ML Application using LocustJul 9, 20211Jul 9, 20211
