This guide provides a comprehensive overview of available Go SDKs for Ollama and compares their feature sets.

In this article, we’ll explore six popular ways of managing state in Flutter apps, including real examples and best practices:

Here we have a Python Lambda example of SQS Message Processor + REST API with API Key Protection + Terraform script to deploy it for serverless execution.

Here is a comparison between Qwen3:30b and GPT-OSS:20b focusing on instruction following and performance parameters, specs and speed:

Here’s a quick info on Write.as / WriteFreely - how it fits into the fediverse, where to get managed hosting, what the usage trend looks like, and how to self-host (plus rough costings).

In this post, we’ll explore two ways to connect your Python application to Ollama: 1. Via HTTP REST API; 2. Via the official Ollama Python library.

Proxmox Virtual Environment (Proxmox VE) is an open-source, type-1 hypervisor and datacenter orchestration platform built on Debian.

Translating your Hugo website can improve your Google and Bing ranking - but only if the translated content is high quality, localized, and properly structured for multilingual SEO.

Online privacy is a hot topic. From targeted ads to silent trackers, many mainstream browsers share more about you than you’d like. Fortunately, several privacy-oriented browsers exist to help you stay safe and anonymous.

Let’s compare prices for top-level consumer GPUs, that are suitable for LLMs in particular and AI in general. Specifically I’m looking at RTX-5080 and RTX-5090 prices. They have slightly dropped.

In this article, we’ll take a deep dive into Alexa skill development, testing, and publishing. We’ll also cover design principles, technical considerations, and best practices to ensure your skill provides an engaging and natural user experience.

Ollama’s GPT-OSS models have recurring issues handling structured output, especially when used with frameworks like LangChain, OpenAI SDK, vllm, and others.

Here’s a side-by-side support comparison of structured output (getting reliable JSON back) across popular LLM providers, plus minimal Python examples

Large Language Models (LLMs) are powerful, but in production we rarely want free-form paragraphs. Instead, we want predictable data: attributes, facts, or structured objects you can feed into an app. That’s LLM Structured Output.

A quick reference for day‑to‑day PostgreSQL work: connections, SQL syntax, psql meta-commands, performance, JSON, window functions, and more.

Converting Word documents to Markdown format is a very common task for technical writers, developers, and content creators who want to move their content to platforms with Markdown (like GitHub, GitLab, static site generators like Hugo).