August 20, 2024Efficient Neural Network & LLM ArchitecturesExplore cutting-edge architectures designed to make neural networks and large language models (LLMs) faster, lighter, and more efficient without compromising performance. From streamlined Transformers to pruned and quantized models, discover how these innovative designs are revolutionizing the deployment of AI in resource-constrained environments.
August 9, 2024Knowledge Distillation Techniques for Optimizing Neural Networks & LLMsKnowledge Distillation shrinks massive neural networks by transferring their ‘know-how’ from a large, complex teacher model to a smaller, more efficient student model, retaining high performance with fewer resources. This technique enables smaller models to master the capabilities of giants like GPT-4, making powerful AI accessible in resource-constrained environments without sacrificing accuracy.