2UrbanGirls on MSN
10 data collection techniques for NLP & LLM training
NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...
IEEE Spectrum on MSNOpinion
How I turned AI to the dark side
It only took a little prompting to hijack the biggest AI models ...
Large language models (LLMs) are gradually transforming research in the life sciences in ways that extend far beyond ...
TensorRT Edge-LLM is NVIDIA's high-performance C++ inference runtime for Large Language Models (LLMs) and Vision-Language Models (VLMs) on embedded platforms. It enables efficient deployment of ...
Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...
Abstract: Training large language models (LLMs) requires extremely large capacity, typically provided by HBM in current systems, which significantly increases system cost. Recently, high-bandwidth ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results