Overview
January 9
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General Large Language Models (LLMs), like ChatGPT, LlaMA, and others have captured the public’s attention with their ability to perform a wide range of tasks including answering questions, writing articles, code, etc. Although the models perform well at a large range of broad tasks, they often fall short when applied to specific business use cases without fine-tuning and refinement.
Because of this, the concept of domain-specific LLMs has evolved. A domain-specific LLM is a general model that has been trained on data from a specific domain. This additional training/tuning gives the LLM a deep understanding of the terminology, concepts, and relationships within that domain. This allows the domain-specific LLM to perform tasks such as generating text, translating languages, and answering questions in a more accurate and informative way than a general-purpose LLM.
In this webinar, you will learn how to harness the power of domain-specific LLMs for State and Local use cases to improve the accuracy and performance of general-purpose LLM’s, help reduce the risk of bias and hallucination, and enhance the user experience.
