PinnedPublished inCubed100% Accurate AI Claimed by Acurai — OpenAI and Anthropic Confirm Acurai’s DiscoveriesAcurai’s audacious claims to have discovered how LLMs operate are now confirmed by studies conducted by OpenAI and Anthropic.Aug 26, 2024A response icon21Aug 26, 2024A response icon21
PinnedPublished inCubedEliminating Hallucinations Lesson 1: Named Entity Filtering (NEF)Named Entity FilteringSep 2, 2024A response icon17Sep 2, 2024A response icon17
PinnedCreating Accurate AI: Coreference Resolution with FastCorefIntroductionOct 15, 2023A response icon3Oct 15, 2023A response icon3
PinnedStop Saying RAG Solves Hallucinations — You’re Hurting The AI IndustryToo many companies (and data scientists) are claiming that RAG eliminates hallucinations. Consider the leading providers of legal research…Jun 29, 2024A response icon1Jun 29, 2024A response icon1
Published inCubedSecret to Enterprise-Ready AI: Recombinant, Recall, and ReasoningHave you been struggling to implement enterprise-ready AI? There’s a secret you need to know in order to get there.May 13May 13
Published inCubed100% Accurate AI Step-by-Step (Part Three): ABCs of Hallucination EliminationLearn the actual cause of chatbot hallucinations. Discover the ABCs of fully eliminating them: Avoiding, Bypassing, and CorrectingMay 1A response icon3May 1A response icon3
Published inCubed100% Accurate AI Step-by-Step (Part Two): Coreference ResolutionCoreference resolution is essential to 100% accurate RAG-based responses. But prior coreference resolution methods had a 17.4% error rate.Apr 24Apr 24
Published inCubed100% Accurate AI Step-by-Step (Part One): BSD Neural NetworksDo you want to train neural networks to achieve 100% accuracy on virtually every language task — including 100% accurate chatbot responses…Apr 21A response icon2Apr 21A response icon2
Published inCubedResearch Paper: 100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 TurboThe Acurai research paper discloses three methods for removing noun-phrase collisions, and thereby producing 100% accurate…Dec 9, 2024Dec 9, 2024
Published inCubedThe Insanity of Relying on Vector Embeddings: Why RAG FailsIn RAG, the goal is to locate the stored information that has the highest percentage of sameness to the provided query. Vector similarity…Nov 21, 2024A response icon77Nov 21, 2024A response icon77
