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End-to-End NLP Project with Hugging Face, FastAPI, and Docker

This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and DockerContinue reading on Towards Data Science » This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and DockerContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is…

Azure Container App, a Data Analytics WebApp with Python Flask, Plotly Dash & Docker

Building an Azure Container App : A Data Analytics App with Python Flask, Plotly Dash, and DockerDeploying scalable data analytics web applications: harnessing Flask, Dash, and Azure container apps for enhanced flexibilityImage by Tima Miroshnichenko on PexelsWhen it comes to developing data analytics web applications in Python, frameworks such as Plotly’s Dash and Streamlit are among the most popular today. But how do we deploy these frameworks for real applications, going beyond tutorials, while keeping scalability,…

End-to-End Data Engineering System on Real Data with Kafka, Spark, Airflow, Postgres, and Docker

This article is part of a project that’s split into two main phases. The first phase focuses on building a data pipeline. This involves getting data from an API and storing it in a PostgreSQL database. In the second phase, we’ll develop an application that uses a language model to interact with this database.Ideal for those new to data systems or language model applications, this project is structured into two segments:This initial article guides you through constructing a data pipeline utilizing Kafka for streaming,…

Using Poetry and Docker to package your model for AWS Lambda

Using Poetry and Docker to Package Your Model for AWS LambdaAn accessible tutorial for one way to put a model into production, with special focus on troubleshooting and hiccups you might encounter along the wayI like to think of models as little critters. Photo by Jiawei Zhao on UnsplashAs promised, this week I’m coming with a more technical topic and taking a little break from all the discussions of business. I recently had an opportunity to deploy a new model using AWS Lambda, and I learned a few things when combining…

Deploying Containers With Docker Swarm

Docker Swarm is a powerful orchestration tool that allows you to manage and deploy containers in a cluster environment. It provides features for load balancing, scaling, and ensuring high availability of your containerized applications. In this comprehensive tutorial, we will walk you through the process of setting up a Docker Swarm cluster and deploying Docker containers within it. This guide assumes you have a basic understanding of Docker and containerization concepts. Introduction to Docker Swarm What Is Docker…

Containerization and AI – DZone

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the way we approach problem-solving and data analysis. These technologies are powering a wide range of applications, from recommendation systems and autonomous vehicles to healthcare diagnostics and fraud detection. However, deploying and managing ML models in production environments can be a daunting task. This is where containerization comes into play, offering an efficient solution for packaging and deploying ML models. In this article, we'll…

Intro to Docker Containers for Data Scientists

A practical tutorial for setting up a local dev environment using Docker ContainerImage by Tom Fask from PexelsMotivationAn essential part of a data scientist’s daily work involves managing and maintaining a development environment. Our work goes considerably more smoothly when the development environment is kept up-to-date and closely reflects the production environment; when it isn’t, things start to get messy. Proficiency with the CI/CD pipeline and devops can be quite advantageous in a larger environment. Providing…

Deploying GenAI Applications on Kubernetes

In today's fast-paced technological landscape, deploying AI/ML applications efficiently and effectively is paramount. Kubernetes, a powerful open-source platform, has emerged as a leading solution for managing and scaling containerized applications, ensuring they run seamlessly across various environments. In this comprehensive guide, we will walk you through the step-by-step process of deploying any AI/ML application on Kubernetes. From containerizing your application to setting up your Kubernetes cluster to deploying…

Dockerizing ML Models: A Deployment Guide

In the rapidly evolving domain of machine learning (ML), the ability to seamlessly package and deploy models is as crucial as the development of the models themselves. Containerization has emerged as the game-changing solution to this, offering a streamlined path from the local development environment to production. Docker, a leading platform in containerization, provides the tools necessary to encapsulate ML applications into portable and scalable containers. This article delves into the step-by-step process of…

Use Kali Linux Docker Containers to Support Covert Web Scraping

Too Long; Didn't ReadUnlock the power of Kali Linux on Docker networks by adding a GUI back to the container. Level up information gathering with anonymized web scraping powered by Python, Selenium, and Tor Browser. In Part 2 of this series, everything in the containers will be put to the test. Too Long; Didn't ReadUnlock the power of Kali Linux on Docker networks by adding a GUI back to the container. Level up information gathering with anonymized web scraping powered by Python, Selenium, and Tor Browser. In Part 2 of…