CIO
OCTOBER 4, 2023
During the last year, I’ve been fascinated to see new developments emerge in generative AI large language models (LLMs). Beyond the hype, generative AI is truly a watershed moment for technology and its role in our world. Bias By their very nature, generative AI LLMs are inherently biased.
CIO
MAY 30, 2024
Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives.
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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. The language model generates text that is not logically consistent with the input but still sounds plausible to a human reader.
CIO
NOVEMBER 16, 2023
Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code. According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
CIO
FEBRUARY 2, 2024
Since the release of ChatGPT in November 2022, generative AI (genAI) has become a high priority for enterprise CEOs and boards of directors. A PwC report, for instance, found that 84% of CIOs expect to use genAI to support a new business model in 2024. Artificial Intelligence, Machine Learning
CIO
MAY 29, 2024
The National Institute of Standards and Technology (NIST) on Tuesday announced an extensive effort to try to test large language models (LLMs) “to help improve understanding of artificial intelligence’s capabilities and impacts.” Can the LLM be] free of fabrications?”
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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