How Google's Selective Link Priority Impacts SEO (2023 Study) - 0 views
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How Google’s Selective Link Priority Impacts SEO (2023 Study)
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First Link Priority
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only have selected one of the links from a given page.
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AI-Generated Content is the New Floor - SparkToro - 0 views
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Creating things other humans who use ChatGPT prompts can’t (or won’t) create is the only path forward. In my experience, the three biggest advantages human creators have over AIs (for now) are: Emotion – ChatGPT can’t be vulnerable. It isn’t scared. It feels no empathy, nor can it convey true regret. It isn’t humble or prideful, distraught or loving. When you prompt it to communicate using these emotions (e.g. “Say that again, but more empathetically?”), the results feel inauthentic. Spicy autocomplete almost never elicits the emotional weight that good, human writers can. Novelty – If an idea, a bit of data, a data source, an amalgamation of information, or an event didn’t exist before 2021, ChatGPT isn’t going to produce content about it. Technically, it can create new works, but these will always be derivative. If you ask ChatGPT what to write about to please an audience of X, it can only tell you what they might have cared about in the past. Creative Insight – After reading the output of a LLM AI, you will almost never hear someone exclaim “Oh my god… that’s a great point!” or “Whoa… I’ve never thought of it that way.” Nor will you see the AIs get artistic or inspirationally motive with their replies. “Oooo… I just thought of a great way to visualize that,” or “I bet we could make a really cool video game based on that premise,” aren’t responses the machines can compete with (yet).
Large language models as tax attorneys: a case study in legal capabilities emergence | ... - 0 views
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LLM prompting involves designing text inputs to generate a response from an LLM. The goal of prompting is to steer the behaviour of the LLM in a way that elicits a desired outcome. Recent research has focused on developing effective prompting techniques that can expand LLMs' capabilities when carrying out a variety of tasks. Examples include prompt patterns [21], in-context instruction learning [22], evolutionary prompt engineering [23] and domain-specific keywords with a trainable gated prompt to guide toward a target domain for general-domain LLMs [24]. Zhong et al. [25] experiment with prompting LLMs to do scientific tasks across fields like business, science, and health by providing the LLM with a research goal and two large corpora, asking the LLM for corpus-level difference. Reppert et al. [26] develop iterated decomposition, a human-in-the-loop workflow for developing and refining compositional LLM programs that improves performance on real-world science question and answer tasks.
What is edge SEO? - 0 views
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Edge SEO involves implementing technical SEO recommendations (and code) through a serverless application, such as Cloudflare Workers, deployed on a CDN. This approach allows website changes without altering the site's underlying code base. It works by modifying the request and response interactions between the client - whether it's a user or a search engine like Googlebot.
4 SEO practices with diminishing returns - 0 views
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