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Conference May 18 - 20
... covers everything you need to be successful with AI including: AI strategy, responsible AI, AI governance, agentic AI and AI agents, generative AI, LLMs, retrieval augmented generation, AI engineering, prompt engineering, AI architecture, data science, ML, and scalability. C: Analytics — Empowering Insight ...
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Webinar On-Demand
... evaluate and select LLMs that align with objectives and constraints. You will walk away from this session with answers to your vital questions and recommended actions to help you achieve your goals. •Discover key innovations and frameworks •Identify the key considerations for LLM selection •Consider ...

Analyst(s):   Sumit Agarwal
Premium Research Feb 2024
... employees’ access to public LLMs is a top data privacy priority for enterprises. Offering managers should guide the design of new services to address internal data governance for GenAI by building a content filtering portal and/or supporting the deployment of private-instance LLMs. Overview Analysis Gartner ...

Analyst(s):   Tracy Tsai
Premium Research Jan 2025
... and Analytics Research Board members regarding the use of large language models (LLMs) within their organizations. It outlines members' position on exploring strategic partnerships or tactical agreements with their LLM providers, fine-tuning custom models, and exploring frameworks for agent-driven artificial ...

Analyst(s):   Consult the Board Research Team
Announcement March 25 2026
... on an LLM With 1 Trillion Parameters Will Cost GenAI Providers Over 90% Less Than in 2025 STAMFORD, Conn., March 25, 2026 LLMs in 2030 Will Be up to 100 Times More Cost-Efficient Than the Earliest Models of Similar Size Developed in 2022 By 2030, performing inference on a large language model (LLM) with ...
Premium Research Oct 2024
... To address LLM challenges like inaccurate and irrelevant responses, data and analytics architects should use the RAG architecture. This research serves as a blueprint for scalable generative AI solution development — integrating LLMs with enterprise data to enhance solution accuracy and relevance. Architecture ...

Analyst(s):   Sumit Agarwal
Premium Research Dec 2024
... ChatGPT的爆火使大语言模型的数量激增,但LLM包含诸多维度,很难予以评估。本文概述了评估LLM时需要考虑的因素,可帮助数据和分析领导者选择最适合自身场景的模型。 详细说明 致谢 Gartner相关推荐阅读 证据 Gartner Research ...

Analyst(s):   Arun Chandrasekaran   |   Tong Zhang   |   Ben Yan   |   Pieter den Hamer   |   Haritha Khandabattu   |   Leinar Ramos
Webinar On-Demand
... continuously adapting to optimize outcomes. This innovation, driven by advanced AI and robust data infrastructure, including AI agents, large language models (LLMs), multimodal data fabrics and knowledge graphs, enhances deep situational awareness by leveraging all enterprise data. Join this complimentary Gartner ...

Analyst(s):   Deepak Seth
Premium Research Mar 2024
... This wide-ranging presentation focuses on the need for AI skills training, safety, and governance by leaning into the nascent market for LLM and AI Agent trust infrastructure. Gartner Research ...

Analyst(s):   Research Board Research Team
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