MARKET RESEARCH: Early Lessons in Building GenAI Solutions
Gartner Report on how to
avoid LLM hallucinations
Get Gartner's latest report, published Aug 2024, for valuable insights on how to avoid issues like hallucinations that make enterprises reluctant to deploy GenAI applications. Learn how to implement mitigating actions like retrieval-augmented generation (RAG) and model grounding to reduce the problems associated with deploying Generative AI solutions.
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Learn from the experts about:
- Why enterprises are reluctant to deploy generative AI apps
- How to deploy RAG to ground LLMs and minimize AI hallucinations
- How metadata ensures data readiness for grounding LLMs
- The prompt/response structure of Generative AI apps
Vital Market Research and Analysis
"Enterprises building GenAI applications that incorporate large language models are experiencing problems with hallucinations, grounding, poor user experience and inappropriate data stores for use with LLMs.
Software engineering leaders must address
these issues to ensure successful use of GenAI. "
This Gartner paper was written By Van Baker, Haritha Khandabattu, Philip Walsh
* Gartner, Early Lessons in Building LLM-Based Generative AI Solutions, 6 August 2024.
* GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
