A new study from Anthropic introduces "persona vectors," a technique for developers to monitor, predict and control unwanted LLM behaviors.

Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered encoder–decoder neural network designed to ...

Accurate prediction of end point water quality can guide wastewater allocation among WWTPs, enhancing system operational efficiency. In this study, a convolutional neural network-long short-term ...

In this paper we have proposed a new model in which the stochastic resonance technique is used to include white noise in the cell state and hidden state vectors of the LSTM model. A novel attention ...

Successfully developed a dialogue summarization model using a Seq2Seq architecture with Attention on the DialogSum dataset to generate concise and coherent summaries of multi-turn conversations.

Successfully developed a text summarization model using Seq2Seq with attention to condense multi-turn dialogues from the SAMSum dataset into coherent and informative summaries. Successfully developed ...