Deep Hermes 3 Review: Toggling Thinking Modes and Unconventional Tests
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Deep Hermes 3, a model that toggles between thinking and non-thinking modes at the flick of a switch. The team dives into the nitty-gritty, praising its performance despite being rooted in Llama 3.1 rather than the more advanced Quinn. They embark on a series of unconventional tests, pushing the model to its limits. From solving Google Sheets formulas to tackling Wolfram Alpha equations, the team showcases the model's prowess in reasoning and problem-solving.
However, not all is smooth sailing for Deep Hermes 3. When tasked with coding a bouncing ball within a rotating hexagon, the model falters, showcasing its limitations in certain scenarios. Despite this setback, the team presses on, exploring the model's accuracy in identifying chemistry compounds. Deep Hermes 3 shines in this challenge, outperforming other models and delivering precise results with finesse.
As the tests continue, the team delves into the model's predictive abilities in medical symptom analysis and problem-solving in the realm of competitive exams. While Deep Hermes 3 impresses with its accuracy in certain tasks, it stumbles in others, revealing the complexities and nuances of AI models. Through a mix of praise and critique, the team paints a vivid picture of Deep Hermes 3's strengths and weaknesses, showcasing the dynamic nature of cutting-edge AI technology.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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Comparison with other models like Llama R1 Distilled and potential for larger versions of the model
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Comparisons with other models like Yi-Coder-9B-Chat and Claude Sonnet 3.5
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