{"id":39435,"date":"2023-06-29T08:18:19","date_gmt":"2023-06-29T12:18:19","guid":{"rendered":"https:\/\/www.technewsday.com\/?p=39435"},"modified":"2023-07-04T09:10:57","modified_gmt":"2023-07-04T13:10:57","slug":"databricks-introduces-ai-assistant-lakehouseiq","status":"publish","type":"post","link":"https:\/\/technewsday.com\/staging\/databricks-introduces-ai-assistant-lakehouseiq\/","title":{"rendered":"Databricks introduces AI assistant, LakehouseIQ"},"content":{"rendered":"<p data-ar-index=\"1\">Databricks has introduced an artificial intelligence (AI) assistant called LakehouseIQ to help business users ask complicated questions about their corporate data in everyday language.<\/p>\n<p data-ar-index=\"2\">LakehouseIQ is a collection of large language models (LLMs) with novel vector search capabilities to improve LLM and generative AI model accuracy, as well as a natural language interface for data analytics that lets users to ask questions without writing any code. It then analyzes the questions, retrieve the necessary data, read it, and generate a response.<\/p>\n<p data-ar-index=\"3\">Lakehouse AI also provides open-source language models (LLMs) like as MPT-7B, a MosaicML LLM with 7 billion parameters, through the Databricks Marketplace. Lakehouse AI also provides curated models for instruction-following and text summarization, as well as Stable Diffusion for picture production.<\/p>\n<p data-ar-index=\"4\">LakehouseIQ, according to Databricks CEO Ali Ghodsi, will be trained on a company&#8217;s own data and will be able to deliver more accurate and relevant responses to customers&#8217; inquiries.<\/p>\n<p data-ar-index=\"5\">The sources for this piece include an article in <a href=\"https:\/\/www.reuters.com\/technology\/databricks-rolls-out-ai-assistant-help-analyze-business-data-2023-06-28\/\" target=\"_blank\" rel=\"noopener\">Reuters<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Databricks has introduced an artificial intelligence (AI) assistant called LakehouseIQ to help business users ask complicated questions about their corporate data in everyday language. LakehouseIQ is a collection of large language models (LLMs) with novel vector search capabilities to improve LLM and generative AI model accuracy, as well as a natural language interface for data [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[34],"tags":[525],"class_list":["post-39435","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","tag-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/39435","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/comments?post=39435"}],"version-history":[{"count":2,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/39435\/revisions"}],"predecessor-version":[{"id":39437,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/posts\/39435\/revisions\/39437"}],"wp:attachment":[{"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/media?parent=39435"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/categories?post=39435"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technewsday.com\/staging\/wp-json\/wp\/v2\/tags?post=39435"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}