Gary Hilgemann’s Post

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REBOTNIX | GENAI | KINEVA | LOW ENERGY DATA CENTER | AI DRIVEN | A HUMAN

This study shows that LLAMA3 models from Meta and others are attracting significant attention due to their exceptional performance, which prompted a study to comprehensively evaluate their capabilities under different low-bit quantization techniques. While LLAMA3 maintains superior performance after quantization, the significant degradation highlights the challenges in resource-constrained environments and underscores the need for advances in low-bit quantization methods to advance generative artificial intelligence. There is a work todo to run these kind of models on low energy devices. Let´s do it.

Can't wait to see the outcome, Gary.

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