Getting started with AI agents (part 2): Autonomy, safeguards and pitfalls

Quick Summary:

Success in building AI agents hinges on mapping roles and workflows and establishing safeguards such as human oversight and error checks.

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Article Details

Author / Journalist: Babak Hodjat, Cognizant

Category: StartupsTechnology

Markets: United States

Topics: ML and Deep Learning AI agents NLP Large language models Category-/Science/Computer Science AI agents for security DataDecisionMakers AI AI agents for data analytics Cognizant AI Generative AI Conversational AI AI agents for software development

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-11-24 @ 20:05:00 (12 hours ago)

News Timezone: GMT -5:00

News Source URL: venturebeat.com

Language: English

Article Length: 21 words

Reading Time: 1 minutes read

Sentences: 66 lines

Sentence Length: 1 words per sentence (average)

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

Copyright Owner: © VentureBeat

News ID: 23804075

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About VentureBeat

Main Topics: StartupsTechnology

Official Website: venturebeat.com

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Year Established: 2005

Headquarters: United States

News Last Updated: 16 hours ago

Coverage Areas: United States

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Publisher ID: #50

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