Costs of Running and Scaling Machine Learning Models | 1min snip from This Week in Startups

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How open-source & distributed models can win AI with MosaicML’s Naveen Rao | E1754

This Week in Startups

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Costs of Running and Scaling Machine Learning Models

Building models with hundreds of thousands to tens of millions of words is cheap, ranging from $100 to $1000 depending on the scale./nMisconception that building models just matters at 30 billion is incorrect./nTraining a 7 billion parameter model with 1 trillion tokens is a lot.

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Todays show:

MosaicML Co-Founder and CEO Naveen Rao joins Jason to discuss the open-source vs closed AI debate, the profound impact of AI on society (41:06) AI’s rapid pace of change, and its implications for the future of employment and education (40:42). They wrap the show by breaking down the potential problems with centralized regulation (54:37).

Follow Naveen: https://twitter.com/NaveenGRao

Check Out MosaicML: https://mosaicml.com

Time stamps:

(00:00) Naveen Rao joins Jason

(2:54) MosaicML and its purpose

(5:10) Obtaining datasets and incentivizing creators

(8:30) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist

(9:37) The process of using your data with MosaicML

(11:55) Defining tokens and prompts

(16:53) Fine-tuning the AI model and reinforcement learning

(19:27) The competition with open-source models

(24:26) The cost of running AI models

(26:08) Trovata - Use code TWIST at https://trovata.io/twist for 30% off one year of premium features, like AI forecasting

(27:35) How the GPU crunch has affected cloud models

(32:13) Why demand will not cease

(34:21) Specialized models vs. general models (39:12) Microsoft for Startups Founders Hub - Apply in 5 minutes for six figures in discounts at http://aka.ms/thisweekinstartups

(40:42) The impact AI will have on employment

(48:49) The impact AI will have on education

(54:37) Thoughts on OpenAI becoming ClosedAI

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