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The article discusses five key trends expected to shape AI by 2025, emphasizing the need for better governance and security in AI development. It highlights the shift towards small language models (SLMs) that require fewer resources while still delivering comparable results to larger models. Additionally, it points out the importance of human involvement in AI applications and the renewed focus on data quality.
The predictions include a transition from model-centric to systems-centered thinking in AI development, which could enhance security and governance. As AI agents become more prevalent, the article anticipates increased attention on their security challenges and the role of humans as differentiators in the workforce. Overall, these trends suggest a more integrated and responsible approach to AI in the coming years.
• Increased adoption of small language models expected by 2025.
• Focus on AI agent security will intensify as usage proliferates.
SLMs are designed to perform well with fewer resources, making them more adaptable for specific tasks.
AI agents are entities that can sense their environment and make decisions, requiring enhanced security measures.
Data quality is crucial for AI performance, emphasizing the principle that high-quality input leads to better outputs.
OpenAI is a leading AI research organization known for developing advanced language models like GPT-3 and GPT-4.
Enea focuses on AI applications in telecommunications, emphasizing the role of human expertise in enhancing AI solutions.
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