Remove Conversational AI Remove Deep Learning Remove Generative AI Remove Natural Language Processing
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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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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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The Fusion of Robotics, AI, and AR/VR: A 2024 Revolution in Manufacturing

Unite.AI

For instance, AI-driven robotics can collaborate with human workers in real-time, guided by AR visualizations that provide insights and instructions, resulting in unparalleled levels of efficiency, quality, and safety. ChatGPT is the latest technology driven by AI that uses natural language processing.

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The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

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Generative AI: The Idea Behind CHATGPT, Dall-E, Midjourney and More

Unite.AI

That is Generative AI. Generative models have blurred the line between humans and machines. With the advent of models like GPT-4, which employs transformer modules, we have stepped closer to natural and context-rich language generation. billion R&D budget to generative AI, as indicated by CEO Tim Cook.

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Beyond ChatGPT: Open-Source Projects in Generative AI

Topbots

In the realm of generative AI, open-source projects have emerged as powerful tools that democratize access to cutting-edge models and foster collaborative development. Sensitive data could potentially be exposed during the development process, and there may also be risks associated with data used to train, test, or fine-tune models.

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Amr Nour-Eldin, Vice President of Technology at LXT – Interview Series

Unite.AI

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.