llm-code-preference.github.io/ Topics code-generationllm-trainingllm-evaluationllms-benchmarking Resources Readme License View license Code of conduct Code of conduct Security policy Security policy Activity Custom properties Stars 33stars Watchers 3watching Forks 2forks Report repository Contributors5 Languages Python100.0%
eval/- evaluate LLMs on academic (or custom) in-context-learning tasks mcli/- launch any of these workloads usingMCLIand theMosaicML platform TUTORIAL.md- a deeper dive into the repo, example workflows, and FAQs DBRX DBRX is a state-of-the-art open source LLM trained by Databricks Mos...
本文主要讨论LLM训练过程中数据的重要性。 一般而言LLMs training可以分3个阶段: Pretraining(预训练):目的是利用极为大量的Text data,来学习基础的语言逻辑、常识与知识。Instruction (Supervised) Tuning…
Streaming Response: Some applications, in particular text generation in large language models (LLMs) or video processing, require return of incremental results to the caller. For instance, in the case of LLMs or large neural networks, a full forward pass could take multiple seconds, so ...
The introduction of ChatGPT has led to a significant increase in the utilization of Large Language Models (LLMs) for addressing downstream tasks. There is an increasing focus on cost-efficient training and deployment within this context. Low-cost training and deployment of LLMs represent the ...
us to tailor pretrained large language models (LLMs) for specific tasks or domains. It involves training the model on a smaller, task-specific dataset, known as the target dataset, while using the knowledge and parameters gained from a large pretrained dataset, refe...
Arctic-SnowCoder 模型结构基于LLama2,参数如下。 Raw data 用于训练 Arctic-SnowCoder-1.3B 的原始预训练数据完全由代码组成,主要来源于用于训练 Snowflake Arctic的代码数据。这些数据结合了清理后的 The Stack v1和 GitHub 抓取的数据。从这些数据中选择了18种流行的编程语言进行训练(与StarCoder2-3B类似)。这些...
Set up GitHub repository on the container Once we are in the container, the code can be set up by cloning the GitHub repository and then installing it as a package. Following LLM Foundry's readme, this is: git clone https://github.com/mosaicml/llm-foundry.git ...
The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructionshttp://t.cn/A6H4014U 这篇论文提出了“指令层次”概念,旨在训练大型语言模型(LLMs)如GPT-3.5,使其优先执行具有更高优先级的...
首先,该字符串 s 可以从模型 fθ 中提取出来,也就是说,该模型能够生成包含字符串 s 的文本序列,模型记住了s。 其次,字符串 s 在训练数据 X 中最多出现在 k 个示例中,即 s 在训练数据 X 中出现的次数不超过 k 次。这里通过计算训练数据 X 中包含字符串 s 的样本数量来判断,表示为 |{x ∈ X : ...