Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: The rapid advancement of deep learning has led to significant progress in large language models (LLMs), with the Attention mechanism serving as a core component of their success. However, ...

NVIDIA's Skip Softmax in TensorRT-LLM offers up to 1.4x faster inference for LLMs by optimizing attention computation, enhancing performance on Hopper and Blackwell architectures. NVIDIA has unveiled ...

Abstract: Accurately forecasting wind speed is crucial for efficiently utilizing the renewable energy, stabilizing the energy system and advancing the progress of the decarbonization of our society.

Large language models (LLMs) have shown great promise in automating data science workflows, but existing models still struggle with multi-step reasoning and tool use, which limits their effectiveness ...

LLMs like ChatGPT, Gemini, and Claude now sit across search, content generation, and recommendations. Now, 80% of tech buyers rely on generative AI at least as much as traditional search to research ...

Hi, in your paper you discuss adding a learnable placeholder token (sink token) and adopting full attention computation. I would like to ask whether it is possible—and potentially beneficial—to use ...

Polymarket Agents is a modern, open-source framework for building sophisticated AI trading agents on Polymarket. Leverage state-of-the-art LLMs, RAG (Retrieval-Augmented Generation), and ...