Like it or not, AI is here to stay. For those who are concerned about data privacy, there are several local AI options available. Tools like Ollama and LM Studio makes things easier. Now those options are for the desktop user and
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The rise of AI-powered coding tools has reshaped developer workflows worldwide. Interactive development environments are becoming more intelligent, adapting to how programmers work. Microsoft is actively evolving VS Code into an AI-first IDE by integrating powerful language models and automation. Meanwhile, Amazon
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It took me way longer than I’d like to admit to wrap my head around MCP servers. At first glance, they sound like just another protocol in the never-ending parade of tech buzzwords decorated alongside AI. But trust me, once you understand
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Large Language Models (LLMs) are powerful, but they have one major limitation: they rely solely on the knowledge they were trained on. This means they lack real-time, domain-specific updates unless retrained, an expensive and impractical process. This is where Retrieval-Augmented Generation (RAG)
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Once upon a time, coding meant sitting down, writing structured logic, and debugging for hours. Fast-forward to today, and we have Vibe Coding, a trend where people let AI generate entire chunks of code based on simple prompts. No syntax, no debugging,
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Ollama has been a game-changer for running large language models (LLMs) locally, and I’ve covered quite a few tutorials on setting it up on different devices, including my Raspberry Pi. But as I kept experimenting, I realized there was still another fantastic
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Ollama is one of the easiest ways for running large language models (LLMs) locally on your own machine. It’s like Docker. You download publicly available models from Hugging Face using its command line interface. Connect Ollama with a graphical interface and you
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Ever since I realized that AI was shaping the future, I’ve been fascinated by its endless possibilities. I’m someone who enjoys testing large language models (LLMs) on my devices, and the open-source approach to data has always been my preference. Why? Because
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DeepSeek has taken the AI world by storm. While it’s convenient to use DeepSeek on their hosted website, we know that there’s no place like 127.0.0.1. 😉 Source: The Hacker News However, with recent events, such as a cyberattack on DeepSeek AI
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Since the launch of DeepSeek AI, every tech media outlet has been losing its mind over it. It’s been shattering records, breaking benchmarks, and becoming the go-to name in AI innovation. DeepSeek v/s OpenAI benchmark | Source: Brian Roemmele Recently, I stumbled
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