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Minna AI assistant prioritizes sourced answers over LLM training data

Minna is a new AI assistant designed to address the issue of Large Language Models (LLMs) making unsourced or fabricated claims. Unlike typical LLMs that rely on their training data and may present information without citation, Minna is built to first search a user's database. It provides exact sources for its answers and will explicitly state when information is not found within the provided data, promoting transparency and trust. AI

IMPACT Offers a solution for users concerned about LLM hallucination and lack of verifiable sources.

RANK_REASON Product launch of a specialized AI assistant.

Read on Mastodon — fosstodon.org →

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Minna AI assistant prioritizes sourced answers over LLM training data

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    I built Minna because I don’t trust an LLM's unsourced claims. LLMs will invent a citation, or confidently state a “fact” without ever backing it up. They const

    I built Minna because I don’t trust an LLM's unsourced claims. LLMs will invent a citation, or confidently state a “fact” without ever backing it up. They constantly push a “trust me” response. So, I built Minna’s assistant to never answer from its training data. It has to search…