GLOSSARYLarge Language Models (LLM)
What are they and why they are important?
What are Large Language Models?
A Large Language Model (LLM) is a type of artificial intelligence trained on massive amounts of text data to understand and generate human-like language. LLMs are built using deep learning techniques and can perform tasks such as answering questions, summarizing content, generating text, and supporting conversational interactions.
Why are Large Language Models Important?
LLMs are foundational to many modern AI applications. They enable organizations to build chatbots, virtual assistants, and knowledge tools that can process natural language at scale. By understanding context and patterns in language, LLMs help automate communication and make information more accessible.
What are the benefits of Large Language Models?
LLMs can enhance efficiency by automating repetitive language-based tasks, boost customer service through conversational AI, facilitate faster decision-making with improved access to knowledge, and drive innovation by enabling new forms of interaction between people and systems.
How Precisely can help
Precisely helps organizations prepare high-integrity data to maximize the effectiveness of LLMs. Through data integration, data quality and governance, and data enrichment and spatial analytics, Precisely ensures that the data feeding LLMs is accurate, consistent, and contextually relevant—reducing bias and hallucinations, improving performance, and enabling more trustworthy outcomes.
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