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Search Intent vs. SERP Intent // SEO Keyword Research for Writing Blogs ...

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What Is Search Intent? Search intent is what someone is looking for when they use a  search engine  (like Google.) It is also referred to as user intent, or  keyword  intent. Search intent is their primary objective — the purpose for why they’re using  Google . That purpose can be various different things — directions to a restaurant, reviews for a pair of shoes or even information about a famous person. There are 4 general types of search intent — we’ll cover this in a second. But first, there is one thing we need to be very clear about. Search intent is not the same as search query. Search Intent ⁠ — What they are looking for when they use Google Search Query  ⁠— What they type into Google These two things don’t always line up. Ideally they should, which is what Google aims for. The 4 Types Of Search Intent There are 4 basic types of search intent. Informational Navigational Commercial Transactional source: backlinko Informational Inf...

Audio Diffusion: AI Sample Generation + Free Text-to-Audio AI Model

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AI Audio Diffusion: Music Sample Generation w/ Text-to-Audio Diffusion models are popular right now. The most noteworthy of these is the recently released Stable Diffusion model, but it appears that this is only the beginning. Indeed, recent work by the Harmonai team has seen diffusion models cross domains, from image generation to audio generation. In this study, we’ll look at some of the technical underpinnings of diffusion models, first focusing on their history, then on their architecture, and finally on audio creation with the Harmonai colab. Let’s just get started, shall we? Table of Contents AI Audio Diffusion: Music Sample Generation w/ Text-to-Audio A Brief History of Diffusion Models General Diffusion Model Architecture Audio Diffusion DIY A look at Harmonai (+ a surprise) Dance, Dance Diffusion Revolution And then… Text-to-image AI for audio? A Brief History of Diffusion Models Diffusion models operate by erasing and then retrieving (or noising and then de-noising) the data ...