article thumbnail

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.

article thumbnail

The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

The New York Times lawsuit argues such outputs constitute infringement, which could have major implications for generative AI development. Overall, evidence indicates plagiarism is an inherent issue in large neural network models that requires vigilance and safeguards. However, these tools have limitations.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new…

Chatbots Life

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new technologies. On November 30, 2022, OpenAI , a San Francisco-based AI research and deployment firm, introduced ChatGPT as a research preview. How GPT-3 technology can help Conversational AI platforms?

article thumbnail

Uniphore Chooses Snorkel Flow to Accelerate Conversational AI

Snorkel AI

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. For conversational AI solutions, having access to high-quality training data is essential for achieving high levels of accuracy and performance.

article thumbnail

Uniphore Chooses Snorkel Flow to Accelerate Conversational AI

Snorkel AI

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. For conversational AI solutions, having access to high-quality training data is essential for achieving high levels of accuracy and performance.

article thumbnail

Say It Again: ChatRTX Adds New AI Models, Features in Latest Update

NVIDIA

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. ChatRTX also now supports ChatGLM3, an open, bilingual (English and Chinese) LLM based on the general language model framework.

article thumbnail

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

Unite.AI

I got the chance to apply those techniques to Conversational AI products across multiple domains. Another key takeaway from that experience is the crucial role that data plays, through quantity and quality, as a key driver of AI model capabilities and performance.