Remove Chatbots Remove Explainability Remove NLP
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AI for Everyone: Conversational AI Explained

Towards AI

This was the limit of our interaction with technology until Natural Language Processing (NLP) emerged, giving computers a voice. Natural Language Processing: Speaking Human NLP is an AI technology that allows computer programs to understand human languages as they are spoken and written. AI: Its 4 PM.

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DeepSeek vs. OpenAI: The Battle of Open Reasoning Models

Unite.AI

DeepSeek focuses on modular and explainable AI, making it ideal for healthcare and finance industries where precision and transparency are vital. DeepSeek focuses on multi-modal reasoning and explainable AI , while OpenAI enhances contextual learning and explores quantum computing integration. Both companies are advancing rapidly.

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5 types of chatbot and how to choose the right one for your business

IBM Journey to AI blog

Now, more than ever, different types of chatbot technology plays an increasingly prevalent role in our lives, from how we receive customer support or decide to purchase a product to how we handle our routine tasks. You may have interacted with these chatbots via SMS text messaging, social media or with messenger applications in the workplace.

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Conversational AI use cases for enterprises

IBM Journey to AI blog

This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage.

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AI Paves a Bright Future for Banking, but Responsible Development Is King

Unite.AI

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions.

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From checkers to chess: A brief history of IBM AI

IBM Journey to AI blog

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making. In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing.

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#61: Are LLMs Entering the Age of Agents?

Towards AI

It details the underlying Transformer architecture, including self-attention mechanisms, positional embeddings, and feed-forward networks, explaining how these components contribute to Llamas capabilities. The chatbot handles document uploads, extracts information, and generates responses based on user queries and conversation history.