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

Speculative decoding has emerged as a potential solution for speeding up inferences using large language models (LLMs).

Bibek Bhattarai details Intel's AMX, highlighting its role in accelerating deep learning on CPUs. He explains how AMX ...

If you’re running on the bleeding edge of Windows, using the Windows Insider program to install developer builds, you may ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...

Simple and Satisfying Old iPhone Deep Clean!! Council’s final warning for Frankston mansion owner’s sea wall William and Kate release new photo of George to celebrate his 12th birthday ...

This paper proposes DRL-ED-TSPP, a deep reinforcement learning (DRL) model with an Encoder-Decoder architecture, to solve the Traveling Salesman Problem with Profits (TSPP) for sustainable cultural ...

DRL-ED-TSPP: A Deep Reinforcement Learning Model with Encoder-Decoder for Solving the Traveling Salesman Problem with Profits Abstract: The rapid growth of smart cultural tourism necessitates ...

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.

Researchers from East China Normal University have developed a novel PV power prediction model for scenarios with considerable fluctuations. Dubbed CRAK, the new hybrid deep learning model ...

If you're looking for parts or just general maintenance tips, you may need to know the model number for your DeWalt power tool. Fortunately, it's easy to find.