Rudolf Kozsil Email & Phone Number

➡️ Surging LLM costs? Looking for new revenue streams?➡️ Compression killing accuracy? ➡️ Concerned about data security and control?CompactifAI employs advanced Tensor Networks to efficiently compress a diverse set of LLMs, resulting in:💲 Significant cost savings on energy and hardware requirements🛡 Improved security and new use cases by enabling localized deployments🚀 Accelerated AI projects through faster training and inference.Traditional compression methods aim at reducing the effective number of neurons, while quantization focuses on lowering the numerical precision of individual weights. In contrast, CompactifAI utilizes Tensor Networks that concentrate on the model’s correlation space, providing a more controlled, refined, and interpretable model compression.Example: benchmarking with Llama-2 7B has yielded (1)🔍 93% size reduction🚀 2X faster training and inference speed🤑 50% lower costs of running in both training and inference time👋 30% compute resource needs🎯 Less than 2%-3% accuracy dropCompress your AI model with CompactifAI: significant cost savings, improved efficiency, enhanced security, and boosted performance. Get in touch now! 📞BOOK TIME: https://bit.ly/rudolfkozsilCELL: +1 (416) 573-9333EMAIL: rudolf.kozsil@multiversecomputing.comRef.(1) https://arxiv.org/pdf/2401.14109(2) https://multiversecomputing.com/compactifai