Backend

Teachable Machine (TM) is Google’s generous way to make machine learning more accessible. You can train models to recognise images, sounds…

Teaching LLM from scratch is challenging because of the extensive time required to understand why fine-tuned models fail; iteration cycles for fine-tuning on small datasets are typically measured in months. In contrast, the tuning iterations for a prompt take place in seconds, but after a few hours, performance levels off. The gigabytes of data in a warehouse cannot be squeezed into the prompt's space.  Using only a few lines of code from the Lamini library, any developer, not just those skilled in machine learning, can train high-performing LLMs that are on par with ChatGPT on massive datasets. Released by Lamini.ai,

The most effective way of working with image data

A Python hello world tutorial using the Python extension in Visual Studio Code

In this short guide we'll create and deploy a Go backend for a web app with a React frontend. We'll...

The One Billion Row Challenge (1BRC) is intended to be a fun exploration of how far modern Java can be pushed for aggregating one billion rows from a text file. ..But what happens if you do it in Go?

Caddy is a powerful, enterprise-ready, open source web server with automatic HTTPS written in Go

A next-generation CLI tool that makes it easy to create amazing web applications with Go on the backend, using htmx, hyperscript or Alpine.js and the most popular CSS frameworks on the frontend.

A free and open source immersive engineering programme. Practical, hands on projects in Go, distributed systems engineering, site reliability engineering, software engineering. Pace, scale, and complexity.

Open Source backend in 1 file with realtime database, authentication, file storage and admin dashboard

Master Java - the most popular programming language underpinning most apps and websites

A browser interface to the Rust compiler to experiment with the language

Laravel is a PHP web application framework with expressive, elegant syntax. We’ve already laid the foundation — freeing you to create without sweating the small things.

In this tutorial, you'll learn about sentiment analysis and how it works in Python. You'll then build your own sentiment analysis classifier with spaCy that can predict whether a movie review is positive or negative.

In this tutorial, you'll learn about collaborative filtering, which is one of the most common approaches for building recommender systems. You'll cover the various types of algorithms that fall under this category and see how to implement them in Python.

Sentry's Remix SDK enables automatic reporting of errors and exceptions, as well as the performance metrics for both client and server side operations.

Explore Caddy's key features: static file serving, reverse proxying, automatic HTTPS, and integrations for log and uptime management

What is Retrieval-Augmented Generation how and why businesses use Retrieval-Augmented Generation, and how to use Retrieval-Augmented Generation with AWS.

use Python and JAX to efficiently build infinitely wide networks for deeper network insights on your finite machine.