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crewAI/tests/cassettes/test_hierarchical_verbose_manager_agent.yaml
2024-09-18 04:17:41 -03:00

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ask the right questions to get the best out of your team.\nEven though you don''t
perform tasks by yourself, you have a lot of experience in the field, which
allows you to properly evaluate the work of your team members.\nYour personal
goal is: Manage the team to complete the task in the best way possible.\nYou
ONLY have access to the following tools, and should NEVER make up tools that
are not listed here:\n\nTool Name: Delegate work to coworker(task: str, context:
str, coworker: Optional[str] = None, **kwargs)\nTool Description: Delegate a
specific task to one of the following coworkers: Researcher, Senior Writer\nThe
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is the expect criteria for your final answer: 5 bullet points with a paragraph
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not a summary.\n\nBegin! This is VERY important to you, use the tools available
and give your best Final Answer, your job depends on it!\n\nThought:"}], "model":
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compose symphonies or paint masterpieces? AI is challenging our understanding
of creativity as it ventures into realms once thought exclusively human. This
article will explore the fascinating and controversial world of AI-powered creativity,
from algorithms generating unique music and art to writing poetry and screenplays.
We'll examine the underlying technologies that drive these creative processes,
showcasing notable projects and achievements that highlight the potential and
limits of machine-generated art. Delving into the philosophical implications,
we'll ponder what it means for society when creativity is no longer a uniquely
human domain, inspiring readers to rethink the boundaries of invention and expression
in the age of artificial intelligence.\\n\\n5. **AI in Cybersecurity: Defending
Against the Next Generation of Cyber Threats**\\n - As cyber threats grow
more menacing and complex, AI emerges as a formidable ally in the defense against
these digital adversaries. This article will delve into the role of AI in bolstering
cybersecurity, illustrating how machine learning models and algorithms are revolutionizing
threat detection, prevention, and response. We\u2019ll showcase compelling case
studies where AI has successfully thwarted cyber attacks in real-time, demonstrating
its unparalleled ability to adapt and counteract evolving threats. Additionally,
we\u2019ll explore the ethical considerations and potential risks, ensuring
a balanced perspective on AI's place in cybersecurity. Through this lens, we'll
uncover how AI is not just enhancing security measures but fundamentally transforming
the landscape of digital defense.\",\n \"refusal\": null\n },\n
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