Convergence of Large Language Models and Knowledge Graphs
LLM & Generative AI: LLMs, the ‘Generative AI technology behind ChatGPT, are remarkable in their understanding of human language and their ability to generate near human responses in language (image models generate images). In the span of one year, they have become ubiquitous with use cases that are wide spread across many personal and business situations. Currently, every business is either incorporating or planning to incorporate the LLMs (image models) in their operations and strategic activities.
Problems with LLMs:
LLMs, however, have their pitfalls and limitations! Notable among the flaws is that LLM generated outputs are not reliable nor accurate – problem of ‘hallucination’. As a result, LLMs produce outputs that are inconsistent i.e. for the same inputs at different times LLMs produce different and possibly incorrect outputs. Business solutions that are built on LLMs that do not have adequate verification steps are themselves prone to inaccurate outputs, rendering the business solutions impractical.