Tokens and vector embeddings: The first steps in calculating semantics for LLMs
The first step in natural language processing is creating word-numbers, represented as points in space. If this confuses you, you're not alone. Keep reading.
natural language generation
14 posts from natural language generation
When words and math collide: Old-school tried and true language processing algorithms
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues.
The front door to discovery: How natural language processing is the key to visibility in LLMs
To put it another way: optimizing with GEO reverse engineering tactics is like entering a house through a small attic window. GEO ignores that the research frameworks literally embedded in the outputs of the model are the keys to the front door.
CT No.238: Language is the technology
To put it another way: optimizing with GEO reverse engineering tactics is like entering a house through a small attic window. GEO ignores that the research frameworks literally embedded in the outputs of the model are the keys to the front door.
A digression on trust: Slop blogs and the accomplished UX strategist who doesn't exist
Are attractive websites more likely to trick experienced content strategists?
Should I let Perplexity crawl my content? Pitting legacy media intellectual property standards against AI discoverability
Should I, as a website publisher, be angry that an AI summary engine includes my content in its index? Or should I not be so precious about my intellectual property? Here's how I'm making that data-driven decision.
Notion review revisited: The $10B tool that bet on desktop-centricity and the left-hand nav
Notion's role in the 2024 notetaking and project management landscape.
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