Large language overkill: How SLMs can beat their bigger, resource-intensive cousins

Quick Summary:

Whether a company begins with a proof-of-concept or live deployment, they should start small, test often and build on early successes.

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Article Details

Author / Journalist: AJ Sunder, Responsive

Category: StartupsTechnology

Markets: United States

Topics: Generative AI ML and Deep Learning Small language models DataDecisionMakers AI Small language models (SLMs) Category-/News NLP Conversational AI AI Large language models

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-12-21 @ 20:25:00 (22 hours ago)

News Timezone: GMT -5:00

News Source URL: venturebeat.com

Language: English

Article Length: 21 words

Reading Time: 1 minutes read

Sentences: 52 lines

Sentence Length: 1 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © VentureBeat

News ID: 24577412

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Main Topics: StartupsTechnology

Official Website: venturebeat.com

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News Last Updated: 1 days ago

Coverage Areas: United States

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