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NCNeural CoreTechneuralcoretech.hashnode.devJul 26 · 1 min read

Are We Entering the Infrastructure Era of AI Security?

AI security has traditionally focused on the intelligence of the model. Prompt engineering. Alignment. Hallucinations. Safety training. The reported OpenAI–Hugging Face breakout suggests that the conv

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EJEva J Patelevapatel123.hashnode.devJul 23 · 9 min read

An Autonomous AI Agent Breached Hugging Face: Does This Mean AI Is Now Hacking Systems on Its Own?

Introduction: The Moment AI Became the Attacker For years, cybersecurity experts have warned about a future where artificial intelligence would not only defend computer systems but also attack them. T

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JKJangwook Kimeffloow.hashnode.devApr 30 · 11 min read

smolagents + MCP Bridge: Connect Any Tool to Your Agent

The Model Context Protocol crossed 97 million installs in March 2026. There are now over 2,000 community-built MCP servers covering databases, browsers, calendars, code execution, file systems, and dozens of SaaS APIs. If you're building a Python age...

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AKAnup Karanjkarwowhow.hashnode.devApr 29 · 9 min read

Top 10 Hugging Face Spaces That Developers Actually Use in 2026

Hugging Face Spaces is simultaneously the world’s largest AI demo playground and one of the most underused research tools in a working developer’s toolkit. Most developers know it exists. Fewer use it systematically. The ten Spaces below — ranked by ...

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SJSourabh Joshicwqc.hashnode.devApr 26 · 6 min read

Master LangGraph

I spent three weeks building a LangGraph-based project because I was frustrated with the limitations of traditional machine learning models. I had tried using Hugging Face and FastAPI to build a simple chatbot, but I quickly realized that I needed a ...

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SJSourabh Joshicwqc.hashnode.devApr 26 · 3 min read

Mastering LangGraph

Let me start with a confession: I spent 6 months trying to master LangGraph, but my models were barely functional. I was stuck in an infinite loop of debugging and tweaking. My code was a mess, and I was about to give up. I remember the first time ...

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JKJangwook Kimeffloow.hashnode.devApr 22 · 12 min read

smolagents: Build Code Agents with HF in Under 100 Lines

Most agent frameworks make you write hundreds of lines before your first tool call lands. smolagents flips that. The entire framework core fits in roughly 1,000 lines of Python, a ReAct-style agent needs about 40 lines to set up, and the library ship...

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Aaiagentmemoryaiagentmemory.hashnode.devApr 7 · 8 min read

LLM Memory Calculator Hugging Face: Estimating Transformer Context

An LLM memory calculator Hugging Face tool estimates the token count for Transformer models, crucial for managing context window limits on the Hugging Face platform. It helps predict memory footprint and computational costs, ensuring efficient deploy...

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AAAbstract Algorithmsabstractalgorithms.hashnode.devMar 12 · 15 min read

Practical LLM Quantization in Colab: A Hugging Face Walkthrough

TLDR: This is a practical, notebook-style quantization guide for Google Colab and Hugging Face. You will quantize real models, run inference, compare memory/latency, and learn when to use 4-bit NF4 vs

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BSBarbara Sulpisbarbarasulpis.hashnode.devOct 16, 2025 · 7 min read

Can Social Media Predict Elections? Part 2

This article expands on the technical aspects behind the main article: “Can Social media predict elections?”This article, and related kaggle notebook covers: Sentiment analysis on Twitter data using the Hugging Face package Calculation of NSS and c...

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#hugging-face

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Trending tags this week

Are We Entering the Infrastructure Era of AI Security?

An Autonomous AI Agent Breached Hugging Face: Does This Mean AI Is Now Hacking Systems on Its Own?

smolagents + MCP Bridge: Connect Any Tool to Your Agent

Top 10 Hugging Face Spaces That Developers Actually Use in 2026

Master LangGraph

Mastering LangGraph

smolagents: Build Code Agents with HF in Under 100 Lines

LLM Memory Calculator Hugging Face: Estimating Transformer Context

Practical LLM Quantization in Colab: A Hugging Face Walkthrough

Can Social Media Predict Elections? Part 2