Evaluating LLMs requires a comprehensive approach, employing a range of measures to assess various aspects of their performance. In this discussion, we explore key evaluation criteria for LLMs, including accuracy and performance, bias and fairness, as well as other important metrics. Accuracy and pe...
https://enchantedovo.github.io/2024/10/17/LLM-Learning5/https://sechub.in/view/2950057https://github.com/ZGC-LLM-Safety/TrafficLLM/blob/master/README.md, 视频播放量 142、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人数 4、转发人数 0, 视频作者 好文摘读, 作者简
语言模型评估工具是Hugging Face的Open LLM Leaderboard的后台,已在数百篇论文中使用,并被包括NVIDIA、Cohere、BigScience、BigCode、Nous Research和Mosaic ML在内的几十个组织内部使用。 2、公告 lm-evaluation-harness的新版本v0.4.0已发布! 新更新和功能包括: ...
公开项目>ChatLLM-EVALUATION ChatLLM-EVALUATION Fork 0 喜欢 2 分享 探索以用户体验为基础的大模型测评机制 Thomas-yanxin 10枚 BML Codelab develop Python3 中级自然语言处理 2023-05-11 13:56:08 应用体验 版本内容 Fork记录 评论(0) 运行一下 未登录状态无法使用该应用,请您登录后再试关于...
By combining FMEval’s evaluation capabilities with SageMaker with MLflow, you can create a robust, scalable, and reproducible workflow for assessing LLM performance. This approach can enable you to systematically evaluate models, track results, and make data-driven decisions in yo...
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. open-sourceplaygroundopenaillmprompt-engineeringlangchainllmopsllama-indexllm-evaluationllm-observability ...
Our study mainly discussed how LLMs, as useful tools, should be effectively assessed. We proposed the two-stage framework: from ``core ability'' to ``agent'', clearly explaining how LLMs can be applied based on their specific capabilities, along with the evaluation methods in each stage. ...
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llm_evaluation Run pip install -r requirements.txt 下载【语义评估】所需模型: huggingface-cli download --resume-download thenlper/gte-large-zh --local-dir /home/wangguisen/models/gte-large-zh 下载【扮演能力】所需模型: huggingface-cli download --resume-download morecry/BaichuanCharRM --local-...