parser.add_argument('--it_num', type=int, default=500000) # 500k parser.add_argument('--logdir_path', type=str, required=True) parser.add_argument('--hdr_prefix ...

Abstract: A new supervisory training rule for the multilayered feedforward neural network (FNN) using local linearization and analytic optimal solution is proposed. The cause of the nonlinearity of ...

Abstract: In the embedded distribution control system, the analogue quantity under test is usually non-linear. In this paper, the concept of variable threshold neuron for the detecting of non-linear ...

The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally ...

Together.ai introduces LoLCATs, a novel approach for linearizing LLMs, enhancing efficiency and quality. This method promises significant improvements in AI model development. Together.ai has unveiled ...