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My buddy John Berryman and I were nicely hosted by Hugo Browne-Anderson on the Vanishing Gradients podcast. We talked about how agentic search stands poised to be more disruptive to the Information Retrieval space than RAG. Check it out! Other upcoming eventsTomorrow
Tuesday Friday Feb 2nd
Best, -Doug Events · Consulting · Training (use code search-tips) You're subscribed to Doug Turnbull's daily search tips where I share tips, blog articles, events, and more. You can always manage your profile: |
I share search tips, blog articles, and free events I'm hosting about the search+retreval industry, vector databases, information retrieval and more.
Have you been to a conversion-crazy site? It’s nuts. Their site screams at you. They probably have the modern version of the HTML blink tag. Popups everywhere just won't go away. Buy buy buy! It’s fun to go to a physical store when you can browse the shelves, talk to customer service, and get help. People avoid stores lacking information and only high pressure salespeople in your face. If your search stinks of pressure, users will retreat. They’ll stay on Google. They win precisely because...
Youtube masterminded how to turn engagement into insights. Whether search or their feed, you can learn from how they learn from you! They: Create low-friction, sticky, addictive little interactions you do subconsciously on the surface. How often have you found yourself hovering over a video on your feed? Give you many actions to take on a video, even from search results themselves (bookmark, share, etc) Treat their monetization (ads) more as a guardrail. They know engaging you with a sticky,...
For those who don't know, Ralph Wiggum is the name given to the dumb, tail-chasing AI coding loop that often churns and churns, getting itself into trouble generating endless nonsense. With all sorts of mitigations to avoid Ralph ralphing up meaningless, crazy code Another way to think about Ralph is the endless epochs of model training. Sometimes after enough epochs, training goes off the rails, gets overfit, and stops actually improving on the task. That's why, coming from a search domain,...