Retrieval-Augmented Generation (RAG) enhances the responses of LLMs by tapping into external, authoritative knowledge bases rather than relying on potentially outdated training data or the model's internal knowledge. This approach addresses the key challenges of accuracy and currency in LLM outputs (Ka...
The key idea of in-context learning is to learn from analogy. The figure below gives an example describing how language models make decisions with ICL. First, ICL requires a few examples to form a demonstration context. These examples are usually written in natural language templates. Then, ICL...
8. REALM: Retrieval-Augmented Language Model Pre-Training 该篇论文来自Google。 该篇论文通过在预训练时加入一个检索模块,使模型能够以更加具备解释性和模块化的来获取文本中的知识。具体来说,在预训练BERT模型时,首先给定一段MASK后的文本,REALM通过检索模块在大型的语料库中检索出一段文本,然后将检索出的文本和...
Retrieval-Augmented Language Models (RALMs) have significantly improved performance in open-domain question answering (QA) by leveraging external knowledge. However, RALMs still struggle with unanswerable queries, where the retrieved contexts do not contain the correct answer, and with conflicting informat...
背景和问题:Transformer language models have shown remarkable ability in detecting when a word is anomalous in context, but likelihood scores offer no information about the cause of the anomaly. Probing LMs for linguistic knowledge Neural grammaticality judgments ...
Learning to Retrieve In-Context Examples for Large Language Models Paper Code EACL 2023Active Retrieval Augmented Generation Paper Code EMNLP Architecture ⭐ REPLUG: Retrieval-Augmented Black-Box Language Models Paper arXiv Architecture Shall We Pretrain Autoregressive Language Models with Retrieval? A...
In-Context Retrieval-Augmented Language Models Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham AI21 Labs – Jan 2023 [paper] [code] RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling ...
ICL and Retrieval Augmented Generation (RAG) could improve the LLM performance and reduce hallucinations, consecutively making the use of LLMs possible in clinical practice.Methods:A method using ICL and RAG was developed on top of health AI platform (Gosta MedKit) to interpret the most recent ...
Mimic-it: Multi-modal in-context instruction tuning. arXiv preprint arXiv:2306.05425, 2023a. Li et al. (2023b) Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Jingkang Yang, and Ziwei Liu. Otter: A multi-modal model with in-context instruction tuning. arXiv preprint arXiv:230...
Context window:Up to 128,000 Access:API Like Claude 3, Cohere's Command models are designed for enterprise users. Command R and Command R+ offer an API and are optimized forretrieval augmented generation (RAG)so that organizations can have the model respond accurately to specific queries from ...