Unite.AI

JANUARY 1, 2025

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.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. Generative AI chatbots have been known to insult customers and make up facts. But how trustworthy is that training data?

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Metadata Explainability Automation Explainable AI 220

Unite.AI

APRIL 22, 2024

Advanced AI algorithms are used to analyze comprehensive patient data, predict health outcomes, and notify healthcare providers of critical changes in a patient's condition, enabling prompt medical responses. It enables precise symptom assessment against a database containing 3,600 conditions and over 31,000 ICD-10 codes, encompassing 99.5%

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How to Learn Machine Learning

JANUARY 21, 2023

Advances in machine learning and deep learning techniques are making AI systems increasingly accurate and efficient. Moreover, advancements in Natural Language Processing (NLP) are allowing AI-powered systems to understand human speech and interact in more natural ways.

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Artificial Intelligence Artificial Intelligence Robotics Natural Language Processing 52

Viso.ai

MARCH 26, 2024

This has the potential to revolutionize many processes by accelerating processing times while improving accuracy and security. Real-world applications range from automating loan approvals to processing insurance claims. Overcoming the ‘black box’ nature of AI for transparent and explainable AI systems.

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Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

IBM Journey to AI blog

SEPTEMBER 3, 2024

Data privacy issues Large language models (LLMs) are the underlying AI models for many generative AI applications, such as virtual assistants and conversational AI chatbots. As their name implies, these language models require an immense volume of training data. Take action: Adopt explainable AI techniques.

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