#ai #langchain #reading-list

šŸ”— Why knowledge management is foundational to AI success
stackoverflow.blog

Amid all the conversations about how AI is revolutionizing workā€”making everyday tasks more efficient and repeatable and multiplying the efforts of individualsā€”it's easy to get a bit carried away: What can't AI do?

Despite its name, generative AIā€”AI capable of creating images, code, text, music, whateverā€”can't make something from nothing. AI models are trained on the information they're given. In the case of large language models (LLMs), this usually means a big body of text. If the AI is trained on accurate, up-to-date, and well-organized information, it will tend to respond with answers that are accurate, up-to-date, and relevant. Research from MIT has shown that integrating a knowledge base into a LLM tends to improve the output and reduce hallucinations. This means that AI and ML advancements, far from superseding the need for knowledge management, actually make it more essential.

continue reading on stackoverflow.blog

āš ļø This post links to an external website. āš ļø