Market Insight: Ten Applications Of Large Language Models For Industry
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Executive Summary
This report highlights the potential of large language models (LLMs), first brought to the mainstream by OpenAI’s ChatGPT. It details their inner workings and outlines how they can be integrated as agents within current technologies, data structures and industrial procedures, to create substantial market impact. We explore the Transformer architecture, its significance, and its limitations. Drawing upon meticulous analysis of recent academic research, commercial product launches, and contributions from the open-source AI community, this report guides readers through comprehensive explanations and intuitive graphical depictions of LLMs functioning as chatbots, reasoning companions, information retrieval systems and agent-style task completion aides. Our findings illuminate a future in which data management, machine learning and LLMs intersect to fuel unparalleled efficiency and innovation in the heavy industries sector.Transformer-based LLMs dominate today’s generative AI landscape
Ten applications of LLMs for industrial operations
Figure 2. Encoders distil the meaning of sentences
Figure 3. Transformer decoder LLMs generate text
Figure 4. LLMs can model and predict real-world cause and effect
Figure 5. Retrieval-augmented generation (RAG) can eliminate LLM hallucination
Figure 6. LLM agents can use tools to complete tasks
About the Authors
Joe Lamming
Senior Analyst
Joe is a Senior Analyst and Technical Lead at Verdantix, specializing in AI-first platforms and applications and data management. Combining hands-on development of software an...
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Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef...
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