CybAI news

In December, we announced a new suite of tools to get Generative AI applications to production using Retrieval Augmented Generation (RAG). Since then, we have seen an explosion of RAG applications being built by thousands of customers on the Databricks Data Intelligence Platform.Today, we are excited to make several announcements to make it easy for enterprises to build high-quality RAG applications with native capabilities available directly in the Databricks Data Intelligence Platform - including the General Availability of Vector Search and major updates to Model Serving.The Challenge of High Quality AI Applications As we collaborated closely with our customers to build…

Source: AuthorIntroductionJust like having a massive pile of books won't make you a genius unless you read and understand them, a mountain of data won't make a powerful AI if it's not properly labeled.Source: https://x.com/Propellorai/status/1215594158087462912Data annotation involves labeling data points, such as images or text, with relevant information, enabling the algorithms to learn and make sense of the patterns within the data. In simple terms, data annotation helps the algorithms distinguish between what's important and what's not with the help of labels and annotations, allowing them to make informed decisions and predictions. While annotation can be performed manually by humans,…

arXiv:2405.14908v1 Announce Type: new Abstract: Large language models exhibit exceptional generalization capabilities, primarily attributed to the utilization of diversely sourced data. However, conventional practices in integrating this diverse data heavily rely on heuristic schemes, lacking theoretical guidance. This research tackles these limitations by investigating strategies based on low-cost proxies for data mixtures, with the aim of streamlining data curation to enhance training efficiency. Specifically, we propose a unified scaling law, termed BiMix, which accurately models the bivariate scaling behaviors of both data quantity and mixing proportions. We conduct systematic experiments and provide empirical evidence for the predictive power and fundamental…