AI - AI Dynamics

→ View original post on X — @bobgourley

Masha Sedova’s Winning Business Strategy Formula

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@bobgourley

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29 June 2023 0h44

The Winning Formula: Masha Sedova's Approach to Business Success https://
youtube.com/shorts/eXPnTnE
8h3c
…

→ View original post on X — @paulroetzer

AI Outperforms Doctors in Medical Scan Analysis Speed

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@paulroetzer

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29 June 2023 0h39

For each patient, doctors typically spend between 25 minutes and two hours working through about 100 scan cross-sections, carefully "contouring" or outlining bones and organs. But the AI program works two and a half times quicker, the researchers say

→ View original post on X — @alexandr_wang

Evaluating intrinsic talent over external signals matters most

By

@alexandr_wang

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29 June 2023 0h33

perhaps the most underrated & important skill: being able to evaluate people on their intrinsics (i.e. their intellect, talent, attitude—their true self) VS their extrinsics (i.e. resumé, brands, external signals) i've met maybe 5 people in my whole life who are great at this

→ View original post on X — @snorkelai

Building AI-Powered Products with Foundation Models

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@snorkelai

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29 June 2023 0h31

If you're attending the @databricks Data+AI Summit this week be sure to join @vincentsunnchen for Building AI-Powered Products with Foundation Models at 2:30 PM on 6/29.

Energy Efficiency in Open-Source Models at Scale

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29 June 2023 0h28

How do you think about energy efficiency of training and inference at scale when open-source models are applied? Do you see low-energy models at the edge as entering the broader conversation about model-context match? @bmorphism

MosaicML’s LLM Development Philosophy: Aggressive vs Conservative Approach

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29 June 2023 0h28

What is @MosaicML
's philosophical approach to developing LLMs? Is it like OpenAI: throw everything at the wall and see what sticks? More conservative, like Anthropic, Cohere, etc.? Or like FB, which open-sources everything and lets people figure out use cases? @PrajnaPrayas

Securing AI Agents: Data Permissioning and Leak Prevention

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29 June 2023 0h28

We want to build AI agents that use internal data to create external interfaces (i.e. customer service bots). How should we be thinking about permissioning? How do we prevent agents from leaking internal data sources via prompt engineering or simply a mistake? @strandbrown

Why Train Models on Multiple Languages Instead of Single Language

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29 June 2023 0h28

Why do we need to train a model on 30 different languages? Why can't we train a model on just 1 language say python or JS ? Is it because there isn't enough training data ? – @lazyiitian