Cohere AI Researchers Investigate Overcoming Quantization Cliffs in Large-Scale Machine Learning Models Through Optimization Techniques

Artificial intelligence’s ascent of large language models (LLMs) has redefined natural language processing. However, deploying these colossal models poses a challenge, with post-training quantization (PTQ) emerging as a critical factor affecting their performance. Quantization, the process of reducing model weights and activations to lower bit precision, is crucial for deploying models on resource-constrained devices. The […]

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