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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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Transformers and Beyond: Rethinking AI Architectures for Specialized Tasks

Unite.AI

ChatGPT, for instance, revolutionized conversational AI , transforming customer service and content creation. As these models advanced, they tackled more complex challenges, including multi-turn conversations and understanding less commonly used languages.

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AI on the Menu: Yum! Brands and NVIDIA Partner to Accelerate Restaurant Industry Innovation

NVIDIA

s voice AI agents are already being deployed across its brands, including in call centers to handle phone orders when demand surges during events like game days. An expanded rollout of AI solutions at up to 500 restaurants is expected this year. Computer Vision and Restaurant Intelligence Beyond AI-accelerated ordering, Yum!

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Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API

Flipboard

This makes it an ideal framework for creating conversational AI applications that require dynamic interactions. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Or requires a degree in computer science? Join me in computer vision mastery.

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NVIDIA NIM Microservices Now Available to Streamline Agentic Workflows on RTX AI PCs and Workstations

NVIDIA

NIM microservices support a range of AI applications, including large language models ( LLMs ), vision language models, image generation, speech processing, retrieval-augmented generation ( RAG )-based search, PDF extraction and computer vision. 8B-instruct Image Generation: Flux.dev Audio: Riva Parakeet-ctc-0.6B-asr

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Tsinghua University Researchers Released the GLM-Edge Series: A Family of AI Models Ranging from 1.5B to 5B Parameters Designed Specifically for Edge Devices

Marktechpost

The GLM-Edge models offer a combination of language processing and vision capabilities, emphasizing efficiency and accessibility without sacrificing performance. This series includes models that cater to both conversational AI and vision applications, designed to address the limitations of resource-constrained devices.

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The most valuable AI use cases for business

IBM Journey to AI blog

Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI. Computer vision guides self-driving cars.