具体而言,预处理过程包括:将任务转换为适合RoboToolKit处理的格式,如对任务进行特征提取,例如提取出具体的行为信息等。 RoboAgent的构建 构建一个RoboAgent,RoboAgent可以调用RoboToolKit的功能,我们需要构建一个合适的Prompt,然后通过ReAct实现Zero-shot的复杂需求理解,让RoboSDK对生成的具体指令行为进行执行,并最终驱动机器...
RKLLM Runtime 主 要 负 责 加 载 RKLLM-Toolkit 转换得到的 RKLLM 模型,并在 RK3576/RK3588 板端通过调用 NPU 驱动在 Rockchip NPU 上实现 RKLLM 模型的推理。在推理 RKLLM 模型时,用户可以自行定义 RKLLM 模型的推理参数设置,定义不同的文本生成方式, 并通过预先定义的回调函数不断获得模型的推理结...
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用于快速评估的 toolkit:https://github.com/HowieHwong/TrustLLM 具体来说,他们按照以下方式应对上述三个挑战:(1)首先,他们基于全面的文献综述提出了一套评估大型语言模型(LLMs)可信度的指导原则。为了探究 LLMs 的可信度,他们融合了⼈工智能、机器学习、数据挖掘、⼈机交互(HCI)和网络安全等领域的知识。他们...
EmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js. It segments data into manageable chunks, generates relevant embeddings, and stores them...
NLTK (Natural Language Toolkit) 数据处理: Pandas NumPy 可视化: Matplotlib Tensorboard 实验管理: MLflow Weights & Biases 7.3 相关论文推荐 “Attention Is All You Need” by Vaswani et al. (2017) “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” by Devlin et al. ...
(Natural Language Toolkit), Spacy, BERT tokenizer and Keras. Whether or not to select one of these or a different tokenizer depends upon your specific use case. On average, there are roughly 0.75 words per token, but there can be meaningful differences among tokenizers.'''print(text_to_...
conda install pytorch-cuda=<12.1/11.8> pytorch cudatoolkit xformers -c pytorch -c nvidia -c xformers pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git" pip install --no-deps trl peft accelerate bitsandbytes ...
condainstallpytorch-cuda=<12.1/11.8> pytorch cudatoolkit xformers -c pytorch -c nvidia -c xformers pipinstall"unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"pipinstall--no-deps trl peft accelerate bitsandbytes
对于ubuntu,我们首先安装Nvidia CUDA Toolkit,如果安装了则跳过 sudo apt install nvidia-cuda-toolkit 然后添加Nvidia Docker存储库并安装Nvidia Container Toolkit: distribution=$(. /etc/os-release;echo $ID$VERSION_ID) curl -s -L https://nvidia.github.io/nvidi...