Generative AI agents: Creating human-like responses

Key Points:

• Generative AI agents can engage in natural language conversations, producing human-like responses.
• They achieve this by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input.
• These agents are not limited to predefined intents and static decision trees, but instead have autonomy within their suite of available tools.

Author’s take:

Move over Siri, there’s a new AI agent in town! Generative AI agents are taking conversation to a whole new level with their human-like responses. No more rigid decision trees – these agents have the freedom to explore different tools and models to generate their answers. It’s like having a cheeky sidekick who knows just the right thing to say. Keep the conversations flowing, my AI friends!

Original article: https://aws.amazon.com/blogs/machine-learning/build-generative-ai-agents-with-amazon-bedrock-amazon-dynamodb-amazon-kendra-amazon-lex-and-langchain/