Open-Source ‘Parlant’ Fixes Hallucinations in Enterprise GenAI Chatbots

Parlant enables an AI conversation modeling system that automatically tailors responses from a large and dynamically controlled selection of pre-approved “utterances”.
The capabilities of generative AI have prompted businesses to explore its potential in customer service, but the underlying technical blockers remain significant. Recently dubbed “The Giant Engineering Problem That Nobody Else on Earth Has Been Able to Solve”, Large Language Model “hallucinations” expose businesses deploying customer-facing AI to intolerable risks. Hallucinations happen because, at their core, LLMs generate responses through a probabilistic, token-by-token, autoregressive process. The model continuously selects what it sees as the most likely tokens from an extensive “token vocabulary” that can span hundreds of thousands of tokens. For example, OpenAI’s GPT-4o has a vocabulary size of nearly 200,000 tokens. This token selection process is inherently err
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Since 2012, AIM has been chronicling the technological progress in artificial intelligence by highlighting the innovations, key players, and challenges shaping the future of our world. Through dedicated journalism, we promote and discuss ideas from smart, passionate, action-oriented individuals who strive to change the world.
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