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Premium Research Mar 2024
... Light large language models consume fewer resources than mainstream LLMs while also expanding the use-case range for generative AI. Product leaders should apply light LLMs to enable new modes of deployment and new types of functions, reduce costs, and help GenAI reach its transformative potential. Overview ...

Analyst(s):   Haritha Khandabattu   |   Radu Miclaus   |   Ray Valdes   |   Tyler Bray   |   Wilco van Ginkel
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Premium Research Jan 2026
... Model predicts that providers mastering domain specialization will soon scale up to 500B parameters, widening the gap with those reliant on generic LLMs. Product leaders must boost domain specialization investments and map out larger, high-value problems to solve. Gartner Insights Abstract ...

Analyst(s):   Will Sommer
Premium Research Jun 2025
... Enterprises are augmenting, or replacing, their use of general LLMs by shifting to domain-specific language models that enable contextualized content creation and knowledge management solutions. Product leaders should leverage DSLMs instead of LLMs to differentiate their GenAI offerings, enhancing user engagement ...

Analyst(s):   Annette Zimmermann   |   Roberta Cozza   |   Kanishka Chauhan   |   Esha Bhatia   |   Samantha Searle   |   Alizeh Khare
Premium Research Aug 2025
... expanding landscape of LLMs offers new solutions with continuous capability enhancements and increasing sophistication. However, with more options comes more confusion. This research presents a framework to help data scientists define requirements and match use cases with the most suitable LLMs. Overview Strategic ...

Analyst(s):   Sumit Agarwal
Premium Research Dec 2025
... access services, but successful implementation requires specific practices. Software architects must design MCP tool schemas and interactions to enable LLM reasoning, optimize context window usage, and govern MCP servers via gateways and registries. Overview Analysis Recommendations Conclusion Gartner Recommended ...

Analyst(s):   Harprit Singh
Premium Research Feb 2024
... In a December 2023 survey, many healthcare provider organizations reported they are actively implementing large language models and generative AI technologies. CIOs can use these findings to understand industry direction and benchmark against adoption trends and use-case priorities. Overview Survey Ob ...

Analyst(s):   Laura Craft
Premium Research Jul 2024
... May 2024 Gartner research shows that healthcare provider executives are actively implementing large language models and generative AI technologies. CIOs can use these findings to understand industry direction, benchmark against adoption trends and validate key challenges. Overview Survey Objective Data ...

Analyst(s):   Laura Craft
Premium Research Apr 2025
... Enterprises’ explosive use of generative AI (GenAI) impacts network performance, cost and scale and heightens the need for robust security. Product managers can capitalize on these escalating enterprise risks by optimizing reference architectures and building security guardrails. Overview Analysis Gart ...

Analyst(s):   Simon Richard   |   Charanpal Bhogal   |   Marissa Schmidt   |   Evan Zeng   |   Chirag Dekate
Premium Research Jun 2024
... The embedded approach to building GenAI applications and AI agents’ external collaboration introduces new cross-organizational security risks that may cause sensitive data leakage and business disruption. Product leaders can use this research to develop “guardrail” products that control risks. Overvi ...

Analyst(s):   Evan Zeng   |   Lawrence Pingree
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