Bringing support to o1 family back + any models that don't support stop words

This commit is contained in:
João Moura
2024-09-24 22:18:20 -03:00
parent b8aa46a767
commit e19bdcb97d
104 changed files with 56051 additions and 65319 deletions

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**Dependence on Data Quality**: AI agents' performance hinges on the quality
and quantity of data they are trained on. Poor data quality can lead to erroneous
outcomes.\\n4. **Complexity in Implementation**: Developing and maintaining
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arise from their complexity, leading to potential failures.\\n\\nIn conclusion,
while I don't \\\"hate\\\" AI agents, I am cautious of their broad and uncritical
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Answer: AI agents are essentially autonomous software programs that perform
tasks or provide services on behalf of humans. They're built on complex algorithms
and often leverage machine learning and neural networks to adapt and improve
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that AI operates within ethical boundaries requires rigorous oversight, which
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misuse of sensitive information.\\n\\n3. **Transparency and Accountability**:
The decision-making process of AI agents can be opaque, making it difficult
to understand how they arrive at specific conclusions or actions. This lack
of transparency poses challenges for accountability, especially if something
goes wrong.\\n\\n4. **Job Displacement**: As AI agents become more capable,
there are valid concerns about their impact on employment. Tasks that were traditionally
performed by humans are increasingly being automated, which can lead to job
loss in certain sectors.\\n\\n5. **Reliability**: While AI agents can outperform
humans in many areas, they are not infallible. They can make mistakes, sometimes
with serious consequences. Continuous monitoring and regular updates are essential
to maintain their performance and reliability.\\n\\nIn summary, while AI agents
offer substantial benefits and opportunities, it's critical to approach their
adoption and deployment with careful consideration of the associated risks.
Balancing innovation with responsibility is key to leveraging AI agents effectively
and ethically. So, rather than \\\"hating\\\" AI agents, I advocate for a balanced,
cautious approach that maximizes benefits while mitigating potential downsides.\",\n
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Answer: My perspective on AI agents is quite nuanced and not a matter of simple
like or dislike. AI agents, depending on their design, deployment, and use cases,
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productivity, and provide personalized services in ways that were previously
unimaginable. For instance, in customer service, AI agents can handle inquiries
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than humans. These applications demonstrate the transformative power of AI in
improving efficiency and delivering better outcomes across various industries.\\n\\nHowever,
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environments like healthcare or autonomous vehicles. Second, there's a risk
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done by humans. This raises socio-economic concerns that need to be addressed
through effective policy-making and upskilling programs.\\n\\nAdditionally,
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deployment of AI agents by bad actors for malicious purposes, such as deepfakes,
misinformation, and hacking, remains a pertinent concern. These potential downsides
imply that while AI technology is extremely powerful and promising, it must
be developed and implemented with care, consideration, and robust ethical guidelines.\\n\\nSo,
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