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Your LLM Gets Its Data From Where??

Salesforce Marketing Cloud

Did it come from a trusted source, like a peer-reviewed journal in your industry, or a dubious one, like a smart-sounding comment scraped from social media? Wikipedia, where anyone can write and edit an entry, is a major data source. LLMs trained on this data are versatile, and can generalize their knowledge to a range of topics.

Copyright 113
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Why Content is the #1 Ranking Factor and How to Maximize It

Marketing Insider Group

Domain authority is a factor Moz developed (and now widely used) that judges how likely a page is to rank in search engine results, ranging from one to 100 with 100 being the highest authority possible. Even the highest authority sites like Wikipedia and YouTube only make it into the high 90s. You can’t be an expert in everything.

Domain 341
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Your Blog Is Not a Publication (But It’s Not Just a Library Either)

Animalz blog

This is how Wikipedia defines the word blog and how popular content management systems like WordPress organize content. The publication mindset leads to a host of issues: Topics are horizontally integrated, meaning content creators cover a range of topics broadly rather than deeply.

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Size Matters: Digging in to Employee Counts and Social Media Discrepancies

DiscoverOrg

I’ve looked at everything from Glassdoor employee ranges, how many people are on a company’s benefit plan, and of course, the employee count on LinkedIn. has at least 75,000 employees according to the United Nations Global Compact and 86,000 according to Wikipedia. I’m going to let you in on a little secret: It’s not the best way.

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Thought Leadership Merchandising: Rising Above the Noise

Marketing Craftmanship

But there’s a range of opinion regarding what Thought Leadership is, and fuzzy expectations with respect to its tangible benefits. Apparently through marketing osmosis, a brilliant OpEd piece in the Wall Street Journal or a rousing keynote presentation at an industry conference will somehow bolster a company’s balance sheet.

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AI copyright could lead to new Marketing opportunities

Kevin Indig

Of the 45 terabytes of text GPT-3 was trained on, 60% came from Common Crawl*, 22% from WebText 2 (which is trained on outgoing links from Reddit), 8% on books and 3% on Wikipedia. Right now, estimations of training costs for GPT-3 range from $4-12M USD, while others say it can be done with as little as $500,000.

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Word Play: Leveraging Machine Learning to Understand Email Sentiment

Outreach

Bringing together researchers and practitioners from universities, supercomputing centers, national labs, and industries across the globe, men and women shared the latest techniques, implementations, benchmarks, and applications for Artificial Intelligence (AI) and Machine Learning.