Short answer
A large language model (LLM) is an AI model trained on very large amounts of text to understand and generate language. LLMs such as Anthropic's Claude and OpenAI's GPT models power chat assistants, writing tools and AI agents, including the AI features inside Salesforce and HubSpot.
Large Language Model (LLM) explained
LLMs predict text one piece at a time based on patterns learned during training, which lets them summarize, draft, classify, translate, write code and reason through problems. On their own they only know what was in their training data, so business uses usually ground them in company data through retrieval or tool connections.
Key considerations for firms are where data is processed, whether providers retain or train on it, accuracy and hallucination risk, and cost per use.
How Vantage Point helps: we help firms choose and govern LLMs for CRM use cases, model-neutral across Claude, OpenAI and the models inside Salesforce and HubSpot.
Frequently asked questions
What is an AI hallucination?
A hallucination is when a model states something false with confidence. Grounding the model in trusted data and asking it to cite sources reduces the risk.
Do LLMs learn from my data when I use them?
Enterprise and API offerings from major providers generally do not train on business data by default, but you should confirm the terms of the specific product you use.