This document explains how foundation models and large language models accelerate generative AI development on the Clarifai platform. It highlights fine-tuning foundation models for domain-specific tasks to improve accuracy while reducing training costs. The brief covers automating labeling with LLMs, segmenting and vectorizing large documents, and using embeddings for secure question answering on proprietary data. Clarifai supports multiple commercial and open-source models, enabling teams to evaluate and integrate the best option for each use case. By combining foundation models with tools for data management, workflows, and model operations, organizations can build scalable generative AI applications faster. The solution empowers developers and domain experts to deploy AI-driven automat

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