Files
crewAI/tests/cassettes/test_manager_agent_delegating_to_all_agents.yaml
João Moura e77442cf34 Removing LangChain and Rebuilding Executor (#1322)
* rebuilding executor

* removing langchain

* Making all tests good

* fixing types and adding ability for nor using system prompts

* improving types

* pleasing the types gods

* pleasing the types gods

* fixing parser, tools and executor

* making sure all tests pass

* final pass

* fixing type

* Updating Docs

* preparing to cut new version
2024-09-16 14:14:04 -03:00

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become increasingly ingrained in our lives, the ethical considerations surrounding
their deployment have come under intense scrutiny. Issues of bias in algorithmic
decisions, privacy concerns over data usage, and the accountability of autonomous
systems are central to the discourse on ethical AI. Ensuring transparency, fairness,
and accountability in AI development calls for robust regulatory frameworks
and vigorous testing. The ethical deployment of AI also requires interdisciplinary
collaboration, involving ethicists, technologists, and policymakers, to balance
innovation with societal impact. Navigating these complex ethical landscapes
is imperative to foster public trust and harness AI\u2019s full potential for
the greater good.\\n\\n5. **The Future of Work in the Age of AI: Opportunities
and Challenges**\\n The advent of AI is reshaping the world of work, presenting
both unprecedented opportunities and significant challenges. Automation and
AI-driven tools are enhancing productivity, enabling workers to focus on higher-value
tasks that require creativity and critical thinking. However, the displacement
of certain job categories and the need for new skill sets pose challenges that
require proactive strategies. Continuous learning and adaptability will become
the cornerstones of future careers as workers navigate an evolving job market.
While AI promises to unlock new industries and job roles, it also necessitates
a collaborative effort from businesses, educational institutions, and governments
to ensure a smooth transition and equitable growth in the age of AI.\",\n \"refusal\":
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