Going to hang this in the Louvre!
GENERATIVE AI
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Companies transform: evolve to AI-first or become obsolete
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i’ve said this before, but you’re either born ai-first or live long enough to become ai-first. exhibit a:
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HuggingChat Installation Guide via Homebrew Package Manager
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Reminder: brew install –cask huggingchat
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AI as Brainstorming Aid for Medical Diagnosis Exploration
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They don’t have to blindly rely on the results but could consider it as an additional brainstorming aide. I think the most interesting use case is something like: “given symptoms xyz, what could be the possible causes to further look into / follow-up with additional tests”
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AI’s Potential Impact on Medical Practice and Doctor Adoption
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And that’s the general purpose model. If you develop a finetuned version with and for doctors, it could have such a positive impact.
(Also, doctors not taking advantage of AI is kind of like doctors not consulting books; if used properly it doesn’t make sense not to) -

Meta Floods Lmarena with Llama Models
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Meta? is flooding Lmarena with Llama models Many of them have names like Rubble or Richard and do not perform well. Is it a way to manipulate leaderboards somehow? Also, the latest Mistral models have been added and we should expect results to be revealed at some point
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Application-Specific AI: Choosing the Right Type for Your App
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needs to be application specific. what type of app are you building?
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Generative AI in Business: Promise and Peril
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A Brave New World: The Promise And Peril Of Generative AI In Business
#payments #fintech #paymentsolutions @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
ow.ly/rtK230sHOB8 -

Explore Abacus AI for Enterprise AI and GenAI Solutions
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Have you explored @AbacusAI yet? Start now at http://
abacus.ai See their unique products, services, platform & innovations! You will be eager to start using them for all your Enterprise #AI needs, boosting your org's #GenAI #DataScience #ML #MLOps #LLMOps capabilities! -
Generative AI adoption challenges enterprises must overcome quickly
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Generative AI is causing excitement but not success for most enterprises. This needs to change quickly, but it will take some work that enterprises may not be willing to do, argues @DavidLinthicum