(LLMs) include models such as Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, DeepSeek-R1, Yi1.5, TeleChat2, Baichuan2, and Gemma2. The multi-modal LLMs include models such as Qwen2.5-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-...
While these efforts have showcased the effectiveness of LLMs as data generators, the focus has primarily been on advancing the training stage, where the generated data are utilized to train task-specific models, leaving the upstream data generation process relatively unexplored. Notably, the ...
LLMsPracticalGuide- A curated list of practical guide resources of LLMs Awesome ChatGPT Prompts- A collection of prompt examples to be used with the ChatGPT model. awesome-chatgpt-prompts-zh- A Chinese collection of prompt examples to be used with the ChatGPT model. ...
1.LLM大语言模型所需SFT数据 为每个示例准备文本输入和标签,以问答形式呈现,如下所示: 问题: 维珍澳大利亚何时开始运营?背景: 维珍澳大利亚,是维珍澳大利亚航空有限公司的交易名称,是一家总部设在澳大利亚的航空公司。它是使用维珍品牌的最大机队规模的航空公司。它于2000年8月31日作为维珍蓝航空公司开始运营,在一条...
A large language model (LLM) is an increasingly popular type of artificial intelligence designed to generate human-like written responses to queries. LLMs are trained on large amounts of text data and learn to predict the next word, or sequence of words, based on the context provided—they ...
Large language models (LLMs) offer incredible new capabilities, expanding the frontier of what is possible with AI. However, their large size and unique execution characteristics can make them difficult to use in cost-effective ways. NVIDIA has been working closely with leading companies, in...
(4)Whatcanbethebesttitleofthetext?DA.UsingAImodelsforscienceB.KeepingLLMgrowingC.SolvingscientificproblemsD.LookingintotheMoon 相关知识点: 试题来源: 解析 (1)细节理解题。根据第一段Theworld'sfirstlargelanguagemodel(LLM)formoonstudyiscoming!Itmakesstudyingthemoonmuchfasterandeasierthanbefore. (世界...
I previously expected open-source LLMs to lag far behind the frontier because they’re very expensive to train and naively it doesn’t make business sense to spend on the order of $10M to (soon?) $1B to train a model only to give it away for free. ...
Quantizing LLMs to int4 reduces model size up to 8x, speeding inference. Learn how to get started applying weight-only quantization (WOQ) and see the accuracy impact on popular LLMs. Learn More Distill and Quantize BERT Text Classification Perform knowledge distillation of the BERT base model ...
A large language model (LLM) is a generative mathematical model that analyzes the statistical distribution of tokens (words, parts of words, or individual characters) in a vast collection of human-generated text. LLMs, such as the core component of an AI assistant like ChatGPT, have a well...