Artificial Inteligence Artificial Intelligence Social 
CIO
OCTOBER 24, 2024
Take for instance large language models (LLMs) for GenAI. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.
CIO
SEPTEMBER 11, 2024
For Colsubsidio , a non-profit provider of a wide array of social services in Colombia, the recent pandemic underscored the need to respond quickly to a major crisis to diminish the harm felt by communities with limited resources. As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5
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CIO
APRIL 14, 2025
Artificial intelligence has great potential in predicting outcomes. Because of generative AI and large language models (LLMs), AI can do amazing human-like things such as pass a medical exam or an LSAT test. Calling AI artificial intelligence implies it has human-like intellect.
CIO
OCTOBER 22, 2024
Artificial Intelligence continues to dominate this week’s Gartner IT Symposium/Xpo, as well as the research firm’s annual predictions list. “It By 2028, technological immersion will impact populations with digital addiction and social isolation, prompting 70% of organizations to implement anti-digital policies.
CIO
OCTOBER 4, 2023
During the last year, I’ve been fascinated to see new developments emerge in generative AI large language models (LLMs). Generative AI LLMs are revolutionizing what’s possible for individuals and enterprises around the world. However, as enterprises race to embrace LLMs, there is a dark side to the technology.
AWS Machine Learning - AI
APRIL 9, 2025
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.
CIO
OCTOBER 24, 2023
In light of this, developer teams are beginning to turn to AI-enabled tools like large language models (LLMs) to simplify and automate tasks. Many developers are beginning to leverage LLMs to accelerate the application coding process, so they can meet deadlines more efficiently without the need for additional resources.
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