perfect ai

100% Accurate AI

Acurai discovered a new way to train neural networks to
achieve 100% accuracy on virtually every language task.

Acurai's BSD training method allows neural networks to achieve the same precision with language that deterministic programming does with numbers, thereby solving virtually every natural language processing (NLP) task all at once.

Test results document that BSD delivers 100% accuracy on all NLP levels.

  • 100% accurate low-level NLP tasks, such as Sentence Splitting and Named Entity Recognition. (BSD Test Result)
  • 100% accurate high-level NLP tasks, such as Summarization and Coreference Resolution. (BSD Test Result)
  • 100% accurate LLM tasks, such as 100% hallucination-free Question/Answering and even lengthy exposition. (BSD Test Result)

Read our blog to discover:

  1. Why the newest models hallucinate much more often
  2. Why regular RAG cannot eliminate hallucinations
  3. How to implement 100% accuarate AI... today

https://arxiv.org/abs/2412.05223
Podcast: Acurai, Simplified

100% Hallucination-Free AI
BSD Test Result

Acurai used BSD Formatted Facts to eliminate 100% hallucinations on RAGTruth Corpus for both GPT-4 and GPT-3.5 Turbo.

100% Accurate Summarization
BSD Test Result

     Vectara's popular Hallucination Leaderboard measures how well models summarize very short snippets of text — as short as seven words. This metric is meaningless for production.

     For example, GPT-4 has a 1.8% hallucination rate when summarizing Vectara snippets; yet GPT-4 has a 46% hallucination rate when summarizing article-length texts. BSD Summarization was tested on 500 BBC news articles. BSD Summarization demonstrated a 0% hallucination rate when summarizing article-length text.

100% Accurate Sentence Splitting
BSD Test Result

     Sentence Splitting is essential to 100% accurate AI. After all, Sentence Splitting is fact extraction.

     Acurai tested BSD Sentence Splitting on 2,500 sentences from BBC articles. BSD Sentence Splitting extracted the facts with 100% accuracy. Current state-of-the-art (SOTA) methods only have an 81.6% accuracy on a per sentence basis.

How Acurai Works
Acurai uses BSD for:
1.
100% Accurate Fact Extraction — Acurai processes text through a pipeline of two BSD Neural Networks: BSD Sentence Splitting followed by BSD Coreference Resolution. This pipeline transforms text into simple, self-contained facts with 100% precision. Acurai calls these simple, self-contained statements Formatted Facts (FFs).
2.
100% Accurate RAG — BSD Neural Networks convert your documents into Formatted Facts (FFs). These FFs are stored in the Acurai Brain. The Acurai Brain contains additional BSD Neural Networks. These BSD Neural Networks intelligently identify the FFs that are relevant to answering the question.
Unlike traditional RAG, the Acurai Brain does not send hundreds of document excerpts (chunks) that are potentially relevant to the query. In fact, the Acurai Brain does not send any chunks at all. Instead, the Acurai Brain only sends back facts that are relevant to the query — the precise Formatted Facts that answer the question. This is the missing component of 100% accurate RAG (and 100% accurate search in general).
3.
100% Accurate Chatbot Responses — Acurai discovered that LLM hallucinations can be completely avoided by using Fully-Formatted Facts. Thus, Formatted Facts created by BSD Neural Networks are the key to 100% accurate chatbot responses.
BSD Neural Networks are the breakthrough that the AI industry has been searching for. 100% accurate language processing is finally here.

Implement BSD Today

If you need 100% accurate NLP processing, such as 100% hallucination-free AI, please fill out the short form below.