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H2O LLM DataStudio Part II: Convert Documents to QA Pairs for fine tuning of LLMs
by Parul Pandey September 22, 2023 Generative AI LLM DataStudio

Convert unstructured datasets to Question-answer pairs required for LLM fine-tuning and other downstream tasks with H2O LLM Data Studio Curate.  Every organization needs to own its GPT as simply as it needs to bring its data, algorithms, and models (read more here). A common problem we see in organizations is that they want to be […]

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H2O LLM EvalGPT: A Comprehensive Tool for Evaluating Large Language Models
by Venkatesh Yadav July 19, 2023 Generative AI h2oGPT

In an era where Large Language Models (LLMs) are rapidly gaining traction for diverse applications, the need for comprehensive evaluation and comparison of these models has never been more critical. At H2O.ai, our commitment to democratizing AI is deeply ingrained in our ethos, and in this spirit, we are thrilled to introduce our innovative tool, […]

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Testing Large Language Model (LLM) Vulnerabilities Using Adversarial Attacks
by Venkatesh Yadav July 19, 2023 Generative AI H2O LLM Studio Large language models LLM Limitations LLM Robustness LLM Safety Responsible AI

Adversarial analysis seeks to explain a machine learning model by understanding locally what changes need to be made to the input to change a model’s outcome. Depending on the context, adversarial results could be used as attacks, in which a change is made to trick a model into reaching a different outcome. Or they could […]

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