cloud

Combining the power of Azure Search with ChatGPT allows intelligent analysis of your own text data. Example Repo link Link

The MERGE command or statement in standard SQL is used to perform incremental load. i.e. load only new set of records into target table. With the help of SQL MERGE statement, you can perform UPDATE and INSERT simultaneously based on the merge condition. Link

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Link

AWS Reference Architecture Diagrams Link

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3 to extract the matching answer for the question. Link

How to deploy Diffusers in the cloud Link

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS), and whose size makes single-GPU training impractical. LLMs’ generative abilities make them popular for text synthesis, summarization, machine translation, and more. Link

Example open source event-driven application that generates a new bed time story for your children every night using Lambda, EventBridge, DynamoDB, App Runner, ChatGPT and DALL-E. Link

At AWS re:Invent 2022, we previewed AWS Application Composer, a visual builder for you to compose and configure serverless applications from AWS services backed by deployment-ready infrastructure as code (IaC). Link Visually design and build serverless applications| Serverless Office Hours

scales from a single function to thousands of distributed tasks. syncs your local code and libraries for a faster, easier iteration loop. Edit your code and rerun your analysis without worrying about building packages or Docker images. optimizes for cost, choosing the cheapest instance types and turning them off when they’re no longer needed. Link

We focus on four tasks: Processing a tabular transaction dataset into a heterogeneous graph dataset Training a GNN model using SageMaker Deploying the trained GNN models as a SageMaker endpoint Demonstrating real-time inference for incoming transactions Link

The following diagram illustrates the data platform architecture Link

AWS Load Balancer Controller is a controller to help manage Elastic Load Balancers for a Kubernetes cluster. Youtube Tutorials

In this article, we explore the services of available cloud GPU platforms with a focus on relevant factors such as pricing, infrastructure, design, performance, support, and security. We use this to present the best platforms to consider for your cloud GPU necessities. Link

This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilities. You can find the AWS Glue open-source Python libraries in a separate repository at: awslabs/aws-glue-libs. Link aws-glue-libs