FPN Paper Walkthrough: Leveraging the Internal Pyramid
Understanding how FPN allows deep learning models detecting small objects and how to implement it from scratch
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This article will teach you how to perform a language task like text classification by integrating locally hosted large language models (LLMs) of manageable size, like Mistral, Gemma, and Llama 3: all for free thanks to Ollama — a free repository for local LLMs — and the Scikit-LLM Python library.
Agent Observability with LangSmith, Langfuse, and Arize: A Hands-On Comparison
Your AI agent works great in testing. Then you ship it, and something kinda breaks. A tool called loops forever, like it never learns. A retrieval step returns garbage and costs spike. You have no idea why, at all. That’s the agent observability problem. And if you’re building with LLMs, you need to...
I Built a C++ Backend So My GPU Would Stop Eating Air
A comprehensive guide to optimizing LLM inference by eliminating padding overhead with hardware-aware sequence packing.
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How to set the rules that keep agents effective and out of trouble
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Code Is Cheap. Engineering Judgement Is Now the Scarce Resource
The barriers to building have collapsed. That shifts the bottleneck to ownership, validation, taste, and deciding what should actually exist
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Three free ways to quickly deploy a static web app that anyone can access
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From Regex to Vision Models: Which RAG Technique Fits Which Problem
Enterprise Document Intelligence [Vol.1 #4] - A diagnostic across PDFs and questions, and a map of the techniques the rest of the series will cover
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10 GitHub Repositories for Modern Database Systems and Tools
Explore 10 top open-source GitHub repositories for modern databases, analytics, SQL, caching, monitoring, replication, PostgreSQL, SQLite, and AI agent memory.
RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem
Enterprise Document Intelligence [Vol.1 #3] - Why the ML toolkit (hyperparameter sweeps, train/test splits, explainability frameworks) solves the wrong problem, and what to use instead
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Mocking a Year of IoT Sensor Time Series Data with Mimesis
In this guide, you will learn the process of generating a year's worth of daily temperature readings, mimicking a seasonal curve that looks like real — all together with device-level metadata, and ready to build based on open-source frameworks.
Structure-guided NER optimization for enterprise GraphRAG systems
The post Proxy-Pointer RAG: Eliminating Wasteful Entity & Relations Extraction in Knowledge Graphs appeared first on Towards Data Science.
AI Workflows for Sales Teams: Prospect Research, Lead Qualification, and CRM Updates on Autopilot Using LangGraph
Sales teams spend hours every day on tasks that should never see a human. Research a prospect, score them against their fit, and put it all into a CRM. These are repeatable, rule based processes AI workflows driven by multi-agent systems can do all three, with speed and consistency that no human tea...
Serving Multiple Users at Once: How Continuous Batching Keeps LLM Inference Efficient
This article is divided into four parts; they are: • The Problem with Static Batching • Code Example of Static Batching • Continuous Batching: Dynamic Scheduling and Ragged Batching • Full Implementation The simplest way to serve multiple requests together is to use static batching, by grouping them...
RAG Is Burning Money — I Built a Cost Control Layer to Fix It
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching, query routing, token budgeting, and circuit breaking, achieving an 85% reduction in LLM costs without s...
25 Most Influential AI Pioneers to Meet at DataHack Summit 2026
The strongest AI voices are not just people with impressive job titles. They are researchers pushing the technical boundaries of AI. Founders building AI communities. Practitioners turning models into products. Even leaders, helping businesses understand what this technology can actually do. This be...
Claude Opus 4.8: A Smarter Model in the Right Direction
The AI industry has matured to the point where raw intelligence is no longer the only thing that matters. A year ago, every model release was a race to publish bigger benchmark numbers. More parameters, features and everything in between. Today, the conversation is shifting. Developers care about ...
The ‘Entry-Level’ Gatekeeper: Auditing Job Descriptions with Textstat
This article shows how to use free, open-source tools like Python and its Textstat library to build a script that automates the process of capturing "gatekeeping language" in job descriptions before publishing them.