A couture gown inspired by cotton candy. #midjourney
INNOVATION
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IdeasAI Generates Startup Ideas Using GPT-3 Technology
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https://
futurepedia.io/tool/ideasai generates startup ideas using GPT-3 #AI #GPT3 -
Cannabis-Inspired Couture Gown Created with Midjourney AI
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A couture gown inspired by cannabis. #midjourney
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AI-Generated Fashion: Semiconductor Wafer Couture Gown Design
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A couture gown inspired by semiconductor wafers. #midjourney
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AI-Generated Couture: Ramen Dresses and Creative Fashion Design
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I’m having fun imagining high fashion couture gowns made of random everyday things. This is a dress made of dry ramen. Throw out some ideas for materials and I’ll share them here. #midjourney
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Deep Learning Models as Knowledge Retrievers and Action Routers
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Yes, once DL models are used not as raw knowledge stores (which doesn't make a lot of sense) but as knowledge retrievers and action routers, they will be as up-to-date as the underlying database. https://
t.co/yHN13PyJeA -
Future Models: Local Conversational Interface with Server-Side Backend
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I wouldn't be surprised if we end up with models that run *locally* (in the browser or on your phone), acting as a conversational interface between you and a server-side knowledge/task backend.
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Future AI assistants will be more capable and cheaper to operate
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That means that the AI assistants of the near future will be considerably more capable than what we see today. And they will be a lot cheaper to run too, as model distillation techniques and architecture refinements keep catching up to raw model size.
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Integrating LLMs with Symbolic Tools to Address Limitations
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Likewise we can interface LLMs with an array of symbolic tools that can shore up their weaknesses — calculators, interpreters, discrete search programs, SAT solvers, etc.
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LLM Performance Evolution: Beyond Generation to Knowledge Retrieval
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It's clear that we're far from peak LLM performance — these models will keep getting better. It's also clear that pure generation is just the first step — we can largely alleviate the LLM reliability issue by using them as information retrieval devices over a knowledge corpus.