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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. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

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NLP Rise with Transformer Models | A Comprehensive Analysis of T5, BERT, and GPT

Unite.AI

Natural Language Processing (NLP) has experienced some of the most impactful breakthroughs in recent years, primarily due to the the transformer architecture. The introduction of word embeddings, most notably Word2Vec, was a pivotal moment in NLP.

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10 Best AI Agents for Business Automation (2025)

Unite.AI

Botpress offers a visual drag-and-drop chatbot builder (the AI Agent Builder) for designing conversation logic and behavior without heavy coding. Under the hood, it integrates with LLMs you can plug in providers like OpenAI or Anthropic so that your bot can interpret user inputs and generate fluent, context-aware responses.

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Most Requested ChatGPT Features for 2024

Analytics Vidhya

Introduction As technology advances, there is a growing demand for more sophisticated and versatile artificial intelligence (AI) models. OpenAI’s ChatGPT stands out as a trailblazer in natural language processing, reshaping the landscape of human-AI interaction and setting new standards in the field.

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Ex-OpenAI CTO Mira Murati unveils Thinking Machines: A startup focused on multimodality, human-AI collaboration

Flipboard

The OpenAI rival will focus on strong infrastructure, multimodality and human-AI collaboration (as opposed to purely agentic systems). Read More

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Ernie Bot vs. ChatGPT: A Comparative Analysis of AI-Language Models

Analytics Vidhya

Two such language models are Baidu’s Ernie Bot and OpenAI’s ChatGPT. In this blog post, we’ll delve into the similarities, differences, and potential use cases of these two powerful […] The post Ernie Bot vs. ChatGPT: A Comparative Analysis of AI-Language Models appeared first on Analytics Vidhya.

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. Cho, the first NLP faculty member at CDS, laid the groundwork, and Bowman created and expanded greatly the initiative in the group’s early days.