Compare the Top Large Language Models that integrate with Apache Spark as of July 2025

This a list of Large Language Models that integrate with Apache Spark. Use the filters on the left to add additional filters for products that have integrations with Apache Spark. View the products that work with Apache Spark in the table below.

What are Large Language Models for Apache Spark?

Large language models are artificial neural networks used to process and understand natural language. Commonly trained on large datasets, they can be used for a variety of tasks such as text generation, text classification, question answering, and machine translation. Over time, these models have continued to improve, allowing for better accuracy and greater performance on a variety of tasks. Compare and read user reviews of the best Large Language Models for Apache Spark currently available using the table below. This list is updated regularly.

  • 1
    Vertex AI
    Large Language Models (LLMs) in Vertex AI enable businesses to perform complex natural language processing tasks such as text generation, summarization, and sentiment analysis. These models, powered by massive datasets and cutting-edge techniques, can understand context and generate human-like responses. Vertex AI offers scalable solutions for training, fine-tuning, and deploying LLMs to meet business needs. New customers receive $300 in free credits, allowing them to explore the potential of LLMs in their applications. With these models, businesses can enhance their AI-driven text-based services and improve customer interactions.
    Starting Price: Free ($300 in free credits)
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  • 2
    Medical LLM

    Medical LLM

    John Snow Labs

    John Snow Labs' Medical LLM is an advanced, domain-specific large language model (LLM) designed to revolutionize the way healthcare organizations harness the power of artificial intelligence. This innovative platform is tailored specifically for the healthcare industry, combining cutting-edge natural language processing (NLP) capabilities with a deep understanding of medical terminology, clinical workflows, and regulatory requirements. The result is a powerful tool that enables healthcare providers, researchers, and administrators to unlock new insights, improve patient outcomes, and drive operational efficiency. At the heart of the Healthcare LLM is its comprehensive training on vast amounts of healthcare data, including clinical notes, research papers, and regulatory documents. This specialized training allows the model to accurately interpret and generate medical text, making it an invaluable asset for tasks such as clinical documentation, automated coding, and medical research.
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