Benchmarking RAG over LangChain Docs The Notebook here so that you can run it yourself I'll link to this public data set um yeah that's that's pretty much it um really looking forward to continuing to Benchmark things as well as uh to to see what you guys come up with um you kno...
论文名称:Benchmarking Large Language Models in Retrieval-Augmented Generation 论文代码:github.com/chen700564/R RAG 评价指标 噪声鲁棒性 错误拒绝 信息整合 反事实鲁棒性 数据集的构造思路 收集新闻数据,并且让chatgpt根据收集到的新闻生成问题,针对每个新闻提出一个问题 人工过滤生成的问题,判断其是否正确 利用Googl...
我们已经有了构建RAG系统所需的所有部件。在RAG设置中,我们不是使用LLMs从提示中生成响应,而是使用检索器检索相关表征,并通过提示LLM拼接它们以形成响应。 现在,你可以提供确切的引用,来自于用于生成响应的知识库文档。这使得可能追溯响应到其源头。 领域变化 我们到目前为止通过RAG实现的成就是我们减少了依赖LLM代表我...
Model Benchmarking for Research: Researchers use MMLU to compare the performance of LLMs like GPT-4, PaLM, or LLaMA, aiding in the discovery of strengths and weaknesses. It ensures a comprehensive comparison of language models with useful insights to study. Multidisciplinary Chatbots: MMLU is on...
Self-RAG:一种 通过自我反思实现检索增强生成 的 RAG 策略 通过按需检索和自我反思来提高LLM的生成质量,包括其事实准确性,而不损害其多功能性。 论文以端到端方式训练任意的LLM来学习反思自身的生成过程,通过生成任务输出和间歇性的特殊token(即反思token)。反思token分为检索和评论token,分别表示检索的需求和生成的...
[arxiv] Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?.2023.09 [arxiv] Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain.2023.09 ...
RAG for LLMs: [cnt] Retrieval-Augmented Generation for Large Language Models: A Survey:Three paradigms of RAG Naive RAG > Advanced RAG > Modular RAG Benchmarking Large Language Models in Retrieval-Augmented Generation: [cnt]: Retrieval-Augmented Generation Benchmark (RGB) is proposed to assess ...
LLM Inference Sizing: Benchmarking End-to-End Inference Systems GTC session:The Goldilocks Approach to LLMs: Balancing Accuracy, Latency, and Cost for Optimal Performance GTC session:Accelerating the LLM Life Cycle on the Cloud
5 Benchmarking Steps for a Better Evaluation of LLM Performance To determine benchmark performance and measure LLM evaluation metrics comprehensively, a structured approach is vital. These five steps can streamline the process and enhance the accuracy of your evaluations. ...
And how do we agree on benchmarks for these models in the future? Here’s a quick snippet of their roundtable onthe latest episode: Marina Danilevsky, Senior Research Scientist:I was really happy to see so many other folks jump on right away and say ‘No, I’m going to try to repr...