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Boosting LLMs to New Heights with Retrieval Augmented Generation
by Venkatesh Yadav | October 06, 2023 Generative AI, H2O LLM Studio, LLM Limitations, LLM Robustness, LLM Safety, Large Language Models, h2oGPT

Businesses today can make leaps and bounds to revolutionize the way things are done with the use of Large Language Models (LLMs). LLMs are widely used by businesses today to automate certain tasks and create internal or customer-facing chatbots that boost efficiency. Challenges with dynamic adaption of LLMs As with any new hyped-up thi...

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Testing Large Language Model (LLM) Vulnerabilities Using Adversarial Attacks
by Kim Montgomery, Pramit Choudhary, Michal Malohlava | July 19, 2023 Generative AI, H2O LLM Studio, LLM Limitations, LLM Robustness, LLM Safety, Large Language Models, 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 be used as an exp...

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