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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Programming is the one area where AI is being used extensively. Most editors allow you to add AI agents like chatGPT, Microsoft’s Copilot etc. There are also several open source large language models specifically centered around coding like CodeGemma. And then we
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As artificial intelligence continues to weave into our daily lives, there’s a noticeable shift towards smaller, more efficient language models that can run locally on devices. SmolLM, part of a growing trend in compact language models, is a prime example, showing that
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Ever since AI took a major leap with the introduction of real-time conversational capabilities like what we saw with GPT-4, there’s been a growing desire to bring these dynamic, human-like interactions into everyday applications. Developers, from hobbyists to enterprises, are now seeking
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Google’s latest AI offering, NotebookLM took the tech world by storm. Whether you are a university student or a working professional, getting time to sit and read is not an option for many, and often, the text-heavy PDFs get pushed to the
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Tired of wrestling with LLM installations? Llamafiles offer a refreshingly simple way to run large language models on your own machine. Here’s what you need to know. Llamafile, is a cutting-edge solution from Mozilla that promises to revolutionize how we handle LLMs.
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Generative AI and Large Language Models (LLMs) are often used interchangeably, but while they share some similarities, they differ significantly in purpose, architecture, and capabilities. In this article, I’ll break down the difference between the two, explore the broader implications of generative
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