#model-efficiency

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Environment
fromFuturism
1 week ago

Researchers Just Found Something Extremely Alarming About AI's Power Usage

Text-to-video generative AI consumes energy nonlinearly: doubling video length roughly quadruples energy use, greatly increasing hardware and environmental costs.
fromAbove the Law
1 week ago

It's A Small (Language Model) World After All - Above the Law

While OpenAI and Anthropic continue begging for more and more investor cash in the face of consistently lackluster earnings, some vendors delivering advanced AI to the legal industry dropped hints about growing interest in small models. It's not that large language models don't work - though they often don't - but they're overbloated science experiments that, as Goldman Sachs observed, require exponentially increased resources to achieve tiny linear gains.
Artificial intelligence
Artificial intelligence
fromHackernoon
1 year ago

Igniting Generative Power: Multi-Token LLMs for Advanced Text Summarization | HackerNoon

Comprehensive evaluation reveals that the 7B parameter models significantly improve summarization tasks when trained on vast amounts of natural language data.
Scala
fromHackernoon
55 years ago

How an 8B Open Model Sets New Standards for Safe and Efficient Vision-Language AI | HackerNoon

Idefics2 emerges as a state-of-the-art vision-language model, showcasing efficiency and performance improvements through systematic experimentation.
Data science
fromHackernoon
5 months ago

LightCap's Success on Nocaps: Limitations and Opportunities for Growth | HackerNoon

The proposed model framework shows efficient performance but has limitations regarding computational cost and training data.
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