Voice AI
What is Large language model (LLM)?
A large language model (LLM) is a neural network trained on very large amounts of text to predict the next word, which lets it follow instructions and generate fluent language.
Also called: LLM, foundation model
In a voice agent the LLM is the decision-maker: given the script, the business's information and the conversation so far, it chooses what to say next and, through function calling, which action to take. Quality in Indian languages varies between models and is generally weaker than in English. Inference time is also a large share of a voice agent's response delay, so the fastest capable model often beats the most capable slow one.
The choice and configuration of the model shape accuracy, latency and cost per minute. A business buying a voice agent does not need to pick a model, but it should test the agent in its own language with its own customers' real objections. On a self-serve platform such as Outpero, the business configures the job, and the platform manages the model layer.
What is Large language model (LLM)?
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A large language model (LLM) is a neural network trained on very large amounts of text to predict the next word, which lets it follow instructions and generate fluent language. In a voice agent the LLM is the decision-maker: given the script, the business's information and the conversation so far, it chooses what to say next and, through function calling, which action to take. Quality in Indian languages varies between models and is generally weaker than in English. Inference time is also a large share of a voice agent's response delay, so the fastest capable model often beats the most capable slow one.
Why does Large language model (LLM) matter?
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The choice and configuration of the model shape accuracy, latency and cost per minute. A business buying a voice agent does not need to pick a model, but it should test the agent in its own language with its own customers' real objections. On a self-serve platform such as Outpero, the business configures the job, and the platform manages the model layer.
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