Vinayak ShanawadinDataDrivenInvestorHow to handle a Million Vector Embeddings in the RAG ApplicationsExplore the use of PGVector in managing a large dataset for RAG applications and the challenges we faced along the way21 min read·Mar 25, 2024----
Vinayak ShanawadinDataDrivenInvestorSlashing Python Docker build times in half with uvuv: Python packaging in Rust3 min read·Feb 16, 2024--1--1
Vinayak ShanawadinDataDrivenInvestorBeyond Relational Databases: Taming LLM and Transformer Embeddings with PGVectorFrom Text to Insights: An End-to-End Guide to PGVector10 min read·Feb 13, 2024--1--1
Vinayak ShanawadBuild an ML Pipeline (Part 2) — Model Registration and Serving with MLflow and KServeSeamless Model Deployment: MLflow and KServe Collaboration10 min read·Dec 4, 2023----
Vinayak ShanawadinAnalytics VidhyaBuild an ML Pipeline (Part 1) — Getting Started with Kubeflow V2 PipelinesDiscovering Kubeflow: Launching into ML Pipelines6 min read·Dec 4, 2023--4--4
Vinayak ShanawadServing Hugging Face Transformers: Optimizing Custom Model Deployment with Seldon CoreTransforming Deployment: Seldon Core Meets Hugging Face11 min read·Sep 14, 2023--1--1
Vinayak ShanawadFrom Dev to Production: Deploying HuggingFace BERT with KServeThe Future of NLP Deployment: BERT Models and KServe in Action8 min read·Sep 11, 2023--4--4
Vinayak ShanawadData Analysis at Warp Speed: Explore the World of PolarsEmpowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities7 min read·Jul 1, 2023----
Vinayak ShanawadSay Goodbye to Costly BERT Inference: Turbocharge with AWS Inferentia2 and Hugging Face…Achieve 2–3ms inference speed and high throughput for text classification tasks7 min read·Jun 1, 2023----
Vinayak ShanawadMonitoring and Saving AWS SageMaker Inference ExpensesTips and Tools for Effective Monitoring and Savings6 min read·Apr 30, 2023----