Nous Hermes 3 and exploiting underspecified evaluations
Aug 16, 2024
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The discussion kicks off with the launch of a new model, questioning what defines a 'frontier model.' Notable comparisons are drawn with LAMA 3.1 and the importance of transparent evaluation metrics emerges. The conversation elaborates on valuable lessons learned from the training process of Hermes 3. The broader implications for technology policy are also highlighted, emphasizing the need for integrity in AI evaluations.
The uncertainty surrounding the criteria for identifying Frontier Models has sparked ongoing debates about transparency and credibility in the tech ecosystem.
Discrepancies between Hermes III's reported performance and actual results underscore the critical need for stringent evaluation standards and clear documentation in model assessments.
Deep dives
Defining Frontier Models
The criteria for identifying a model as a Frontier Model is currently unclear, leading to debates within the tech ecosystem. Traditionally, success in the chatbot arena by LM Sys has served as a benchmark, but trust in this measure is waning. With the introduction of an open-weight frontier model, LAMA 3.1405 billion, there is speculation about whether this will lower the barrier for others to join the Frontier Model Club. As many organizations strive to expand the capabilities of modern language models, the need for a solid framework to evaluate these models becomes increasingly critical.
Evaluation Challenges and Insights
The recent release of Noos Research's Hermes III models raises questions about the transparency and comprehensiveness of model evaluations. Users have observed discrepancies between reported scores and actual performance, particularly when comparing Hermes III to existing models like LAMA 3.1. The lack of detailed evaluation metrics in the Hermes report calls into question its status as a Frontier Model, highlighting the necessity for clear documentation in such claims. Despite its design for broad usability and engagement, without stringent evaluation standards, the model's credibility in the competitive landscape remains uncertain.
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Evaluating the Noos Hermes III: Frontier Models and Evaluation Integrity