2. 在 llm__course 容器中实现环境安装 2.1 llm__course 容器简介 llm__course 容器是一个专为 LLM 训练和演示设计的开发环境,包含了各种深度学习框架和工具,旨在简化模型训练和推理任务。容器内预配置了流行的 NLP 库,如 Hugging Face 的 Transformers、DeepSpeed、TensorFlow 和 PyTorch,以及用于大规模并行计...
GitHub地址:GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. 为方便大家实用,将其主要内容翻译成中文: LLM 基础知识 1. 机器学习数学 在掌握机器学习之前,了解支持这些算法的基本数学概念非常重要。 线性代数:这对于理解许多算法至关重要,尤其...
mlabonne/llm-course 类型:开源项目类别:LLM科普教程解读:该文章主要介绍了如何通过一个课程进入大型语言模型(LLMs)的学习,该课程分为三个部分:LLM基础、LLM科学家和LLM工程师。课程提供了相关的笔记本和文章,包括用于评估LLMs、合并模型、量化LLMs和其他相关主题的工具和资源。创新点 分别提供基础课程以及LLM科学家和...
Pre-training is a very long and costly process, which is why this is not the focus of this course. It's good to have some level of understanding of what happens during pre-training, but hands-on experience is not required. Data pipeline: Pre-training requires huge datasets (e.g., Llam...
freeCodeCamp - Deep Learning Crash Course: This video efficiently introduces all the most important concepts in deep learning. Fast.ai - Practical Deep Learning: Free course designed for people with coding experience who want to learn about deep learning. Patrick Loeber - PyTorch Tutorials: Series...
LLM AI 應用開發|扎實基礎打底 + DeepSeek 應用實作 DeepSeek 開發入門|快速學習打造基礎 AI 應用 生成式 AI 技術入門:大型語言模型 LLM 理論與實務 + other 2 course US$81.48 US$119.95 View Discount 大型語言模型 LLM 開發|3 堂課掌握 AIGC 應用 ...
类似地,在其他情况下也可使用诸如「Hello、Of (course)、Great (question)、Please」等 token。此外,其他 token 如「Here (are some)、including (:)、1 (.)」等也能为答案提供不同的信息。「However、Instead、sorry」等 token 信息可以防止 LLM 产生有害或不准确的信息。token「Rem」构成了单词 Remember,...
The Ultimate AI/LLM/ML Penetration Testing Course Your instructor is Martin Voelk. He is a Cyber Security veteran with 25 years of experience. Martin holds some of the highest certification incl. CISSP, OSCP, OSWP, Portswigger BSCP, CCIE, PCI ISA and PCIP. He works as a consultant for ...
Elevate your technical skills in Gen AI and LLM by selecting a learning path either for developers or administrators.
DeepLearningAI’s courses are created by experts in the field, such asAndrew Ng, and offer a structured approach to mastering LLMs. Many of their introductory courses are free. 4. LLM App Development Course by Weights & Biases If you’re interested in building applications powered byLLMs, th...