PAL Foundry

Ontology

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Pre-Training

Pre-training involves training a foundational language model on a large dataset specific to your industry. This phase focuses on providing the model with a broad understanding of language patterns and general knowledge related
to the industry.

Fine-Tuning

Fine-tuning involves further training the pre-trained language model on a narrower dataset that focuses on your company-specific processes, guidelines, and quality standards. This phase helps the model specialize in understanding and generating content aligned with your organization’s needs.

In-Context Learning

In-context learning involves training the language model on data related to agent journeys, customer interactions, and communication templates specific to your company. This phase enables the model to understand and generate responses tailored to real-world scenarios.