Scaling

Nadella and Bengio “Test-time compute is the brand new scaling law for AI”

Satya Nadella, CEO of Microsoft (MS), and Professor Yoshua Bengio of the University of Montreal, a master of deep learning, jointly announced that inference-centered 'test-time computing' will grow to be the brand new law...

Rethinking Scaling Laws in AI Development

As developers and researchers push the boundaries of LLM performance, questions on efficiency loom large. Until recently, the main focus has been on increasing the dimensions of models and the amount of coaching data,...

Antropic CEO “The scaling law remains to be valid… Superintelligence will emerge in 2-3 years.”

Dario Amodei, CEO of Antropic, expressed his opposition to the stagnation of growth of enormous language models (LLM) attributable to the recently raised limits of the 'scaling law' being reached. In other words, he...

ReturnZero “Scaling up from voice recognition to enterprise productivity tool through SLM development”

"We're developing our own STT (Speech-To-Text) model that converts voice into text and will likely be available throughout the yr. "We're upgrading 'Collabo' beyond the STT (speech-to-text) service for organizing meeting minutes to a company...

Data Scaling 101: Standardization and Min-Max Scaling Explained

When to make use of MinMaxScaler vs StandardScaler vs something elseScaling is basically the technique of bringing all of the features closer to an identical or same range or scale, similar to transforming them...

MINT-1T: Scaling Open-Source Multimodal Data by 10x

Training frontier large multimodal models (LMMs) requires large-scale datasets with interleaved sequences of images and text in free form. Although open-source LMMs have evolved rapidly, there continues to be a significant lack of multi-modal...

The Ethical Minefield of AI Scaling: Constructing Trustworthy AI for Large-Scale Deployments

A couple of years ago, a tutoring company paid a hefty legal settlement after its artificial intelligence powered recruiting software disqualified over 200 applicants based solely on their age and gender. In one other...

Generative AI deployment: Strategies for smooth scaling

To gauge the considering of business decision-makers at this crossroads, MIT Technology Review Insights polled 1,000 executives about their current and expected generative AI use cases, implementation barriers, technology strategies, and workforce planning. Combined...

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