Remove Conversational AI Remove Large Language Models Remove Responsible AI
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Alan Ranger, VP of Marketing at Cognigy – Interview Series

Unite.AI

Cognigy provides AI-driven solutions to enhance customer service experiences across industries. Cognigy's AI Agents leverage a leading Conversational AI platform, offering features such as intelligent IVR, smart self-service, and agent assist functionalities. Key technological breakthroughs behind the Cognigy.AI

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Large Language Models for Product Managers: 5 Things to Know

AssemblyAI

The widespread use of ChatGPT has led to millions embracing Conversational AI tools in their daily routines. ChatGPT is part of a group of AI systems called Large Language Models (LLMs) , which excel in various cognitive tasks involving natural language.

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Evaluate conversational AI agents with Amazon Bedrock

AWS Machine Learning Blog

However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that interact with external knowledge sources and tools.

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DeepSeek Distractions: Why AI-Native Infrastructure, Not Models, Will Define Enterprise Success

Unite.AI

Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data. AI governance manages three things.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Enhancing LLM Capabilities with NeMo Guardrails on Amazon SageMaker JumpStart

AWS Machine Learning Blog

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. Integrating with Amazon SageMaker JumpStart to utilize the latest large language models with managed solutions.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

This post shows how you can implement an AI-powered business assistant, such as a custom Google Chat app, using the power of Amazon Bedrock. This solution showcases how to bridge the gap between Google Workspace and AWS services, offering a practical approach to enhancing employee efficiency through conversational AI.