Turbocharging Meta Llama 3 Performance with NVIDIA TensorRT-LLM and NVIDIA Triton Inference Server Get Started with Generative AI Development for Windows PCs with NVIDIA RTX NVIDIA TensorRT-LLM Supercharges Large Language Model Inference on NVIDIA H100 GPUs...
5.多次推理("Few-Shot Inference"): 有时,一个例子对于模型来说可能还不够,这时你可以扩展一次推理的概念,包含多个例子,这被称为多次推理("Few-Shot Inference")。 这种方法,包括多个不同输出类别的例子,可以帮助模型理解它需要做什么。 6.微调模型("Fine-Tuning the Model"): 如果你发现模型在包含五或六个...
In both cases, the OpenVINO™ runtime is used as the backend for inference, and OpenVINO™ tools are used for model optimization. The main differences are in ease of use, footprint size, and customizability. The Hugging Face API is easy to learn and provides a simpler interface fo...
1、https://github.com/microsoft/DeepSpeed DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. DeepSpeed是一个深度学习优化库,能简化、优化、加速分布式训练/推理。 2、https://github.com/microsoft/DeepSpeedExamples This repository co...
Take Control of Your Language Model Optimization Journey: Download the PDF Now About Intel uses cookies and similar tools to enable you to make use of our website, to enhance your experience and to provide our services. We also use cookies to understand how visitors use our services so we ...
The need for inference time optimization What is the purpose of frequency penalties in language model outputs? Responsible use of large language models: Enhancing output generation Understanding Large Language Models (LLMs) What are large language models?
Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference AutoGen is an open-source, community-driven project under active development (as a spinoff fromFLAML(opens in new tab), a fast library for automated machine learning and tuning), which encourages cont...
万物皆可推理:将所有任务建模为自然语言推断(Natural Language Inference)或相似度匹配任务 万物皆可生成——基于生成的Prompt范式统一 在含有单向Transformer的语言模型中(例如GPT、BART),都包含自回归训练目标,即基于上一个token来预测当前的token,而双向语言模型中的MLM可以视为只生成一个token的自回归模型,为此,我们...
The first comprehensive survey for Multimodal Large Language Models (MLLMs). ✨ Welcome to add WeChat ID (wmd_ustc) to join our MLLM communication group! 🌟 🔥🔥🔥Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM ...
Prompt Optimization of Large Language Model for Interactive Tasks without Gradient and Demonstrations Large language models (LLMs) have demonstrated remarkable language proficiency, but they face challenges when solving interactive tasks independently. Exis... S Ouyang,L Li - 《Arxiv》 被引量: 0发表...