Open Source Articles

How to Implement AI-Driven Dynamic Pricing in Your Application

A Step-by-Step Implementation Guide Building a pricing system that automatically adapts to market conditions might sound daunting, but with modern tools and frameworks, it's more accessible than you might think. This guide walks you through implementing a basic AI-powered pricing engine that you can extend for production use. The foundation of successful AI-Driven Dynamic Pricing lies in understanding both the technical implementation and the business context. Unlike static pricing strategies

Dev.to Python

How to Fine-Tune Llama 3.1 70B on Your 2026 Python 3.13 Codebase Using vLLM 0.4 and Hugging Face Transformers 4.40

In 2026, 68% of Python teams report wasting over $12k/month on under-optimized LLM fine-tuning pipelines — this guide eliminates that waste with a production-grade Llama 3.1 70B workflow using Python 3.13, vLLM 0.4, and Hugging Face Transformers 4.40. ⭐ python/cpython — 72,492 stars, 34,499 forks Data pulled live from GitHub and npm. GTFOBins (87 points) Talkie: a 13B vintage language model from 1930 (313 points) Microsoft and OpenAI end their exclusive and revenue-sharing deal (859 poin

Dev.to Python

Day 1: Your Team’s Chat Is a Wiki Waiting to Happen — A New Kind of RAG

Why we built Beever Atlas — and why “distill first, retrieve second” works where vanilla RAG falls apart. Your team already documents everything — in chat. Beever Atlas distills those conversations into a wiki that the LLM can actually reason over. Across Slack, Discord, Microsoft Teams, and Mattermost (More platforms will be integrated). 5-Day Beever Atlas Series — start here. This is Day 1 of a five-part deep dive into Beever Atlas — the open-source, wiki-first RAG system that turns your team

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How to Use HuggingFace Inference API for Free Image Generation

What You'll Need n8n Cloud or self-hosted n8n Hetzner VPS or Contabo VPS for hosting Namecheap if domain needed A free HuggingFace account (huggingface.co) Basic understanding of API calls and JSON Understanding HuggingFace Inference API Setting Up Your API Key Making Your First Free Image Generation Request Integrating with n8n for Automated Workflows Handling Rate Limits and Optimization Getting Started I've been working with AI model APIs for the past three years, and HuggingFace's approa

Dev.to Python

Rollback Chains: When Payment Fails, What Actually Happens

Rollback Chains: When Payment Fails, What Actually Happens In the previous post, I showed the orchestrator's state transition table. It knows which topic to publish on failure. But what happens on the receiving end? What does "rollback" actually look like in code? This post walks through three real failure scenarios in my saga system. Each one triggers a different rollback chain, and each service handles compensation differently. Every service implements two operations: the forward action and

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Your Pipeline Is 26.2h Behind: Catching Inflation Sentiment Leads with Pulsebit

Your Pipeline Is 26.2h Behind: Catching Inflation Sentiment Leads with Pulsebit We recently stumbled upon a striking anomaly: a 24-hour momentum spike of -1.150 around the topic of inflation. This indicates a significant downturn in sentiment, and what makes this even more compelling is that the leading language driving this narrative is English, lagging behind Hindi by 26.2 hours. As developers, this kind of insight reveals critical gaps in our sentiment analysis pipelines, particularly in ha

Dev.to Python

Your Pipeline Is 26.4h Behind: Catching Healthcare Sentiment Leads with Pulsebit

Your Pipeline Is 26.4h Behind: Catching Healthcare Sentiment Leads with Pulsebit We just unearthed a fascinating anomaly: a 24-hour momentum spike of +0.985 in healthcare sentiment. This spike is particularly intriguing because it’s been led by English press coverage, which is currently sitting at a 0.0-hour lag compared to Hindi, clocking in at 26.4 hours. What does this mean? It highlights a critical gap in how we process multilingual data and detect emerging sentiment trends. English cover

Dev.to Python

Scraping 241 UK council planning portals – 2.6M decisions so far

I've been scraping 241 UK council planning portals – 2.6M decisions so far UK planning data is technically public. In practice it's locked behind 400+ different council portals, some still running bespoke ASP.NET that looks like it dates from 2004, some behind AWS WAF, all with subtly different schemas. I've spent four months scraping them. I'm now at 241 councils and 2.6 million decisions across England, Scotland and Wales. The scraping problem Most UK councils run one of a handful of portal sy

Hacker News Front

A Python Money Roadmap

How People Actually Turn Python Into Income Systems in the Real World Continue reading on Python in Plain English »

Python in Plain English

Runbooks Rot. Playbooks Learn.

Google Cloud Blog (Medium)

Running Gemma 4 Locally: A Step-by-Step Guide to Private, High-Performance AI

Have you ever wanted a world-class AI living directly on your hardware? No subscriptions, no data leaving your room — just pure, local… Continue reading on Google Cloud - Community »

Google Cloud Blog (Medium)

Google’s Agentic Data Cloud: Architecting a System of Action

Google Cloud Blog (Medium)