Remove Automation Remove Conversational AI Remove Large Language Models
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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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The AI Assistant for everyone: watsonx Orchestrate combines generative AI and automation to boost productivity

IBM Journey to AI blog

This technological revolution is now possible, thanks to the innovative capabilities of generative AI powered automation. With today’s advancements in AI Assistant technology, companies can achieve business outcomes at an unprecedented speed, turning the once seemingly impossible into a tangible reality.

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Unlock productivity with advanced generative AI

IBM Journey to AI blog

AI and automation are driving business transformation by empowering individuals to do work without expert knowledge of business processes and applications. With that, we are introducing the new accelerated authoring and conversational search capabilities for Watson Assistant.

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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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How MLOps Work in the Era of Large Language Models

ODSC - Open Data Science

Large language models (LLMs) and generative AI have taken the world by storm, allowing AI to enter the mainstream and show that AI is real and here to stay. However, a new paradigm has entered the chat, as LLMs don’t follow the same rules and expectations of traditional machine learning models.

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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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Arena Learning: Transforming Post-Training of Large Language Models with AI-Powered Simulated Battles for Enhanced Efficiency and Performance in Natural Language Processing

Marktechpost

Large language models (LLMs) have shown exceptional capabilities in understanding and generating human language, making substantial contributions to applications such as conversational AI. The need for an automated and scalable approach to continuously improve LLMs has become increasingly critical.