• Crozekiel@lemmy.zip
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    23 hours ago

    It’s a chat bot that googles your question before answering in the hopes to cut down on hallucinations. It doesn’t solve this problem at all.

    • Bazell@lemmy.zip
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      22 hours ago

      Your explanation is not completely correct. More correct explanation would be: an AI chatbot that has an ability to gather relatable info to the user input from internal or external sources allowing the AI model to answer more precisely on questions even if the model wasn’t trained on this data at all. This lowers the amount and degree of hallucinations to some point but doesn’t eliminate them.

        • Bazell@lemmy.zip
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          11 minutes ago

          Basically, yes, but more nerfed. This ability is essential for many current AI chatbots and works on basic level of accessing specific needed info from storage. Easy example for a search bot will a chatbot that answers questions. Instead of giving LLM AI model access to all database(thousands of sentences), special algorithm(usually a semantic search) retrieves only a small relevant to the user input part of info(like only a dozen of sentences) and gives it to LLM model for further analyzing and formatting. This approach reduces the amount of tokens for which you pay, makes answers more correct and fast.

          For a bot to be a true search bot such searching algorithm should be able to use internet and local storage together. And the interesting part is that you don’t even need to have an LLM in this chain. You can only use RAG system to search for needed info in any text file. The only issue is that it will not be formatted and analyzed automatically.