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AGAlan Gornickblog.ag3-design.comMay 31 · 11 min read

Free Your LLM to Pursue Goals, Not Follow Rules

This guide and its prompt tools are updated as the method evolves. Schema-shots emerged from a practical problem: rules were brittle, detailed examples (shots) were powerful, but bulky. I needed a com

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HAHardik Arorahardik0811arora.hashnode.devJun 1 · 7 min read

Building a Zero-Egress, AI-Driven DevSecOps Pipeline: My Journey with SupplyChain-Guardian-AI

As platform engineering evolves, we are constantly battling alert fatigue. We run our vulnerability scanners, generate endless Software Bill of Materials (SBOMs), and drop massive PDF reports onto dev

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AGAlan Gornickblog.ag3-design.comMay 25 · 17 min read

Show, Don't Tell: Shot-Focused and Schema-Shot Prompting

Testing my prompt library on small local models was humbling. Prompts that ran beautifully on frontier models dropped rules, stumbled, and broke. Experimentation taught me that the amount of text in a

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NLNagesh Lakshmana Gowdanageshtech.hashnode.devMay 10 · 4 min read

How to Run Ollama Locally: Complete Beginner’s Guide

Artificial Intelligence is evolving rapidly, and developers are increasingly looking for ways to run Large Language Models (LLMs) locally on their machines. One of the easiest tools to achieve this is

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NKNishchay Kaushiknkaushik.inFeb 22 · 4 min read

Running 24/7 Local AI on an Old Android without Overheating

Last week I wrote about repurposing an old Android phone to run local AI models. In this follow-up I address the biggest obstacle to running the device 24/7: overheating and how I transformed it into

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A(Anand (RC)rcanand.hashnode.devOct 14, 2025 · 2 min read

Mac M Series Generative Models tech stacks

This is just a brain dump of what I know right now about doing inference and fine tuning on Apple Silicon Mac as of mid October, 2025 (lot more to cover, WIP): mlx is Apple's open library optimized for Apple silicon mlx is analogous to pytorch but o...

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CLChibuikem Lucasthe-developer-experience.hashnode.devAug 27, 2025 · 1 min read

DAY 16: Local AI + Intent Logic + Core Components

Today’s update was a big step forward for the Developer Personal Assistant (DPA) project: Local AI Engine: I implemented an in-browser AI rules engine, no external APIs required. It detects intent from user messages and decides where they should go. ...

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NNativeMindnativemind.hashnode.devAug 14, 2025 · 4 min read

A Full Guide to Run gpt-oss in NativeMind

OpenAI recently released gpt-oss, a small open-weight language model, sparking excitement in the AI community. It’s lean, immediately approachable, and lightweight, better for writing, coding, secure offline chatting, etc. NativeMind now supports gpt...

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NNativeMindnativemind.hashnode.devJul 22, 2025 · 5 min read

NativeMind vs LM Studio: Which Local AI is Better for You

As large language models (LLMs) become more powerful and accessible, more and more people are opting to run AI locally on their own devices. This is happening because people are concerned about data being shared online, slow internet speeds, and depe...

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ABAnubhav Bhogalanubhav97.hashnode.devJul 17, 2025 · 4 min read

Why an SEO Strategist is Crucial in the Age of AI and Automation

The Essential Role of an SEO Strategist in an AI-Driven Digital Landscape Artificial intelligence (AI) has transformed the digital marketing landscape, reshaping the way search engines like Google rank content and altering user expectations dramatica...

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#local-ai-models

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#local-ai-models

Explore Hashnode

Trending tags this week

Free Your LLM to Pursue Goals, Not Follow Rules

Building a Zero-Egress, AI-Driven DevSecOps Pipeline: My Journey with SupplyChain-Guardian-AI

Show, Don't Tell: Shot-Focused and Schema-Shot Prompting

How to Run Ollama Locally: Complete Beginner’s Guide

Running 24/7 Local AI on an Old Android without Overheating

Mac M Series Generative Models tech stacks

DAY 16: Local AI + Intent Logic + Core Components

A Full Guide to Run gpt-oss in NativeMind

NativeMind vs LM Studio: Which Local AI is Better for You

Why an SEO Strategist is Crucial in the Age of AI and Automation