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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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How AI Chatbots Mimic Human Behavior: Insights from Multi-Turn Evaluations of LLMs

Marktechpost

Researchers evaluated anthropomorphic behaviors in AI systems using a multi-turn framework in which a User LLM interacted with a Target LLM across eight scenarios in four domains: friendship, life coaching, career development, and general planning. The results identified relationship-building behaviors that evolved with dialogue.

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Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support

AWS Machine Learning Blog

The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities

Marktechpost

In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. According to a Bloomberg article , OpenAI has recently discussed a five-level framework to clarify its goal for AI safety and future improvements.

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LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning Blog

It can be used for general text generation where the model needs to provide a response, question-answering tasks where the model must answer a specific question, text summarization tasks where the model needs to summarize a given text, or classification tasks where the model must categorize the provided text.

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How AI saves money and improves banking complaint handling

Snorkel AI

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Bank agents may also struggle to track the status of complaints and ensure that they are resolved in a timely manner.

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How AI saves money and improves banking complaint handling

Snorkel AI

AI is accelerating complaint resolution for banks AI can help banks automate many of the tasks involved in complaint handling, such as: Identifying, categorizing, and prioritizing complaints. Bank agents may also struggle to track the status of complaints and ensure that they are resolved in a timely manner.