AI & ML 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

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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

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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

Develop a Pure PHP Face Recognition Application

Face recognition isn’t just for Python or complex AI stacks anymore. You can now implement it in PHP to create efficient web-based solutions for attendance, security, and user authentication, even integrating seamlessly with Laravel or WordPress. This guide walks you through using Dlib models in PHP to perform face detection, identify facial landmarks, and generate face embeddings. Download the correct file from: https://github.com/mailmug/php-dlib/releases Find php.ini, then add the extension p

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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

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I Realized I Was Depending Too Much on AI

People are depending too much on AI, and it's changing their cognitive abilities. So, I started researching the long-term impact: Here is my observation: The Observation At first, AI felt like leverage. It helped me move faster. Think faster. Build faster. And honestly, it was exciting. I could generate ideas more quickly, solve problems faster, and reduce hours of effort into minutes. But then I started noticing something subtle. Before reaching for my own thinking… I was reaching for AI. For i

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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

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Autonomous Decision-Making AI: When Machines Start Thinking for Themselves

Artificial Intelligence is no longer just about automation — it’s about systems that can think, analyze, and act on their own. Autonomous Decision-Making AI is transforming how businesses operate by enabling machines to make real-time, data-driven decisions without constant human input. What is it? Why it matters: Where it’s used: The future is clear — machines won’t just assist us, they’ll decide with us. 🌐 Explore more: atingupta.in https://youtu.be/zeEs8s7jXe0

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A Large-Scale Study on Regularization and Normalization in GANs

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Is it reasonable to force AI companies to produce at least half of their electricity?

People are growingly becoming more affected by the surge of electricity needed to power these data centers, is it reasonable or even possible? Maybe im letting my imagination take a hold of me but I think it’s crazy that all these people are ending up paying for things that they don’t want a part of. submitted by /u/butterm0nke [link] [comments]

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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