5. Introduction to Large Language Models by Google Cloud Google Cloud’sIntroduction to Large Language Modelscourse provides a solid foundation in LLMs, especially in the context of cloud computing, which is a great resource if you want to learn how to use LLMs in the cloud. Introduction to ...
Previously, large models mainly had paid-use models. But since DeepSeek-V2 cut prices in 2024, a "price-drop tide" began. DeepSeek-R1 further pushed it towards "zero-cost". Now, with both OpenAI and Baidu going free, the price war escalates.Experts say this "free tide" is due to c...
Previously, large models mainly had paid-use models. But since DeepSeek-V2 cut prices in 2024, a "price-drop tide" began. DeepSeek-R1 further pushed it towards "zero-cost". Now, with both OpenAI and Baidu going free, the price war escalates. Experts say this "free tide" is due to ...
Previously, large models mainly had paid-use models. But since DeepSeek-V2 cut prices in 2024, a "price-drop tide" began. DeepSeek-R1 further pushed it towards "zero-cost". Now, with both OpenAI and Baidu going free, the price war escalates. Experts say this "free tide" is due to ...
Understanding Large Language Models by Princeton University COS 597G: Understanding Large Language Modelsoffered by Princeton University is another free course that takes you from the basics to advanced concepts in large language models. The course materials and suggested reading are available on the cou...
GPT4All: is open-source software that enables you to use the state-of-the-art open-source LLM on your local machine with ease and in simple steps. LM Studio is a desktop application that enables easy experimentation with local and open-source Large Language Models (LLMs). Users can run ...
This playlist of free large language model videos includes everything from tutorials and explainers to case studies and step-by-step guides. Explore LLM Videos and Tutorials Deepen Your Technical Knowledge of LLMs Learn more about developing large language models on the NVIDIA Technical Blog. ...
本文只会涉及到一种基于正则表达式的高效引导式生成方法,其内容主要来自于论文《Efficient Guided Generation for Large Language Models》[1],至于其他的引导式生成方法,请自行搜索或者了解相关论文。 令St=(s1,s2,...,st) 代表一个包含 t 个token的序列,其中 st∈V , V 是一个大小为 N 的词汇表 (Vocabular...
NAACL2025 Large Language Models Are Cross-Lingual Knowledge-Free Reasoners阅读笔记 维克多 在读硕士,研究LLM知识,推理和跨语言2 人赞同了该文章 简介 作者希望研究不同类型任务跨语言传递率为什么存在较大的差异。在这项工作中,作者将推理任务的过程分解为两个独立的部分:知识检索和无知识推理,并分析了它们的跨语...
Large language models work by consuming vast amounts of information in the form of written text, like books, articles, and other internet data. The more high-quality data these deep learning models process, the better they become at understanding and using human language. ...