CIO
MARCH 11, 2025
But how do companies decide which large language model (LLM) is right for them? LLM benchmarks could be the answer. Factors such as precision, reliability, and the ability to perform convincingly in practice are taken into account. LLM benchmarks are the measuring instrument of the AI world.
CIO
NOVEMBER 19, 2024
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. These agents are already tuned to solve or perform specific tasks.
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CIO
MARCH 20, 2025
Generative and agentic artificial intelligence (AI) are paving the way for this evolution. Built on top of EXLerate.AI, EXLs AI orchestration platform, and Amazon Web Services (AWS), Code Harbor eliminates redundant code and optimizes performance, reducing manual assessment, conversion and testing effort by 60% to 80%.
CIO
FEBRUARY 5, 2025
As insurance companies embrace generative AI (genAI) to address longstanding operational inefficiencies, theyre discovering that general-purpose large language models (LLMs) often fall short in solving their unique challenges. Claims adjudication, for example, is an intensive manual process that bogs down insurers.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
CIO
NOVEMBER 14, 2024
Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. Fine-Tuning Studio Lastly, the Fine-tuning Studio AMP simplifies the process of developing specialized LLMs for certain use cases.
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, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI AI is evolving as human use of AI evolves.
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.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. We also look closely at other areas related to trust, including: AI performance, including accuracy, speed, and stability.
Advertiser: Data Robot
But we can take the right actions to prevent failure and ensure that AI systems perform to predictably high standards, meet business needs, unlock additional resources for financial sustainability, and reflect the real patterns observed in the outside world. We do not know what the future holds.
Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! How you can leverage innovations in technology and machine learning to improve your customer experience and bottom line.
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