MACHINE LEARNING - AI Dynamics

[Lecture notes] Stanford CS324 – Large Language Models Excellent notes on various topics related to large language models: fundamentals of language models, capabilities of LLMs, data behind LLMs, modeling, training, scaling laws, selective architectures, task adaptation, and

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19 August 2023

New AI Wave: Investors Navigate Competition Beyond MLops Stack

By

@mattlynley

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19 August 2023 17h05

Now that we're entering a NEW AI hype wave, investors are finding themselves with a growing dilemma: avoiding competition with the last one. In the last wave (we'll call it 2019-2022) a whole ecosystem of startups sprouted around picking off individual pieces of the MLops stack.

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19 August 2023

Clarifying Terminology: Fine-tuning vs Training for Text Classification

By

@honnibal

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19 August 2023 9h23

This is so different from what we're seeing that I wonder whether we're talking about the same things. The terminology in the field is really confusing now. Let's say I want to do text classification. Would you call training a model for that 'fine-tuning'? One way to do it text

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19 August 2023

AI Redefines Agility and Insights in Enterprise Workforce Management

By

@yuhelenyu

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19 August 2023 9h06

AI Redefined as Agility and Insights. #WorkdayPartner #AI #ML #FutureOfWork https://
t.co/YntPN2uZhs

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19 August 2023

Cultural emotional expression data scaling across modalities

By

@petitegeek

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19 August 2023 5h37

Can I join? Been thinking quite a bit about scaling our cultural emotional expression data, the tricky part has been that cultures use different weightings of face/gesture/voice/context for the same expr. https://
arxiv.org/abs/2103.04262 https://
arxiv.org/abs/2112.05267
v1
… https://
frontiersin.org/articles/10.33
89/fnint.2021.699667/full
…

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19 August 2023