Building with LLMs
In order to stay competitive in the market, AI teams across industries are racing to incorporate LLM capabilities into their products.
This guide is designed to help developers and data scientists understand the workflow involved in bringing a state-of-the-art generative AI system to production. It introduces the basic concepts from the world of LLMs in an accessible language and presents the tools to design, build and maintain an end-to-end application that's driven by LLMs.
We walk you through the processes of building with LLMs from a practical angle - focusing on the process of designing, improving and shipping the system itself.
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Disclaimer
Gartner Cool Vendors in AI Engineering, Arun Chandrasekaran, Manjunath Bhat, Arup Roy, George Brocklehurst, 6 November 2024
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