Amazon Lex now allows you to use Large Language Models (LLMs) as the primary option to understand customer intent across voice and chat interactions. With this capability, your voice and chat bots can better understand customer requests, handle complex utterances, maintain accuracy despite spelling errors, and extract key information from verbose inputs. When customer intent is unclear, bots can intelligently ask follow-up questions to fulfill requests accurately. For example, when a customer says “I need help with my flight,” the LLM automatically clarifies whether the customer wants to check their flight status, upgrade their flight, or change their flight.
This feature is available in all AWS commercial regions where Amazon Connect and Lex operate. To learn more, visit the Amazon Lex documentation or explore the Amazon Connect website to learn how Amazon Connect and Amazon Lex deliver seamless end-customer self-service experiences.
Categories: marketing:marchitecture/artificial-intelligence,general:products/amazon-lex
Source: Amazon Web Services
Latest Posts
- Amazon CloudWatch Logs Insights adds new query commands and functions

- SageMaker Unified Studio automates Glue connector provisioning for cross-subnet job retries

- Cloudflare Fundamentals, Cloudflare One, Cloudflare Tunnel for SASE, Cloudflare Tunnel, Cloudflare Mesh – Granular permissions for Cloudflare Tunnel and Cloudflare Mesh

- AI Gateway – Call any AI model through AI Gateway’s new REST API






