... Access Insights Already a Gartner client? Critical perspective and insight from Michelle Shapiro, Sr. Director Analyst. Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): Michelle Shapiro
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... Large language models are powerful generators of content and insight, but hallucinations, misattributions and simple mistakes make them unreliable without a verification layer. Large-language-model-as-a-judge uses one large language model to validate the output of another, forming an essential layer ...
... acquisition of Emmi AI as an early signal that industrial AI strategies will need to augment LLMs with physics-aware, domain-specific models. Future competitive advantage will depend on creating a layered AI stack where LLMs enable orchestration and trained use cases, but models grounded in physical systems and ...
... Access Insights Already a Gartner client? Organizations anchoring on token prices systematically underestimate the composite costs of LLM-based AI agents. Software engineering leaders must apply systematic cost optimization across model selection, agent configuration, and financial governance to contain ...
Analyst(s): Alex Coqueiro | Jim Scheibmeir | Cary Pillers
... Data and Analytics leaders must execute ML initiatives faster, with fewer resources, and with improved model performance. Leveraging LLMs for feature engineering can address all three objectives simultaneously. However, human expert validation is a non-negotiable, critical safeguard. Insights at a Glance ...
... organizational growth, but traditional VoC data-like surveys lack the depth needed. By mining indirect VoC sources — such as chat, email, and transcripts — with LLMs, CMOs can uncover insights that fuel competitive advantage. Insights at a Glance Impact Actions Cautions How to Execute Success Measures Gartner Recommended ...
... Access Research Already a Gartner client? Generative AI applications using large language models (LLMs) require a different kind of observability than traditional approaches. LLM observability involves tools and techniques that help teams interpret measures like hallucinations, toxicity and stability ...
Analyst(s): Gregg Siegfried | Matt Crossley | Padraig Byrne
... Already a Gartner client? Organizations in China are running LLMs in production but struggle to enable their deployment in AI infrastructure and operate them effectively. CIOs and heads of I&O in China can use this research to guide their LLM deployment in AI infrastructure and operations with optimized ...