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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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Artem Rodichev CEO & Founder of Ex-human – Interview Series

Unite.AI

You spent several years as Head of AI at Replika, building one of the most popular conversational AIs. During my time at Replika, I had the opportunity to help shape a conversational AI that resonated with millions of users, which gave me deep insight into how people connect with technology on an emotional level.

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Botpress Review: This AI Chatbot Builder Is Seriously Smart

Unite.AI

You can literally see how your conversations will branch out depending on what users say! Botpress serves a pretty straightforward purpose: it lets you build, test, and deploy conversational AI without needing to be an AI expert or professional developer. Who uses Botpress?

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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.

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DeepSeek-R1 vs. OpenAI’s o1: A New Step in Open Source and Proprietary Models

Marktechpost

AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development has two sides, one with open source and the other being propriety models. Some of its key performance highlights include: Mathematics: The model achieved a Pass@1 score of 97.3%

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Google’s Advanced AI Models: Gemini, PaLM, and Bard

Marktechpost

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology.

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

NVIDIA

Generative AI is unlocking new capabilities for PCs and workstations, including game assistants, enhanced content-creation and productivity tools and more. NVIDIA NIM microservices, available now, and AI Blueprints , in the coming weeks, accelerate AI development and improve its accessibility. Ready, Set, NIM!