Remove AI Development Remove Explainable AI Remove Natural Language Processing
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DeepSeek vs. OpenAI: The Battle of Open Reasoning Models

Unite.AI

Each brings unique benefits to the AI domain. DeepSeek focuses on modular and explainable AI, making it ideal for healthcare and finance industries where precision and transparency are vital. However, in general-purpose benchmarks like GPQA Diamond and multitask language understanding (MMLU), DeepSeek R1 scored 71.5%

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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. The average cost of a data breach in financial services is $4.45

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Enhancing AI Transparency and Trust with Composite AI

Unite.AI

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Journey to AI blog

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. Open-source projects, academic institutions, startups and legacy tech companies all contributed to the development of foundation models. .

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AI’s Got Some Explaining to Do

Towards AI

Yet, for all their sophistication, they often can’t explain their choices — this lack of transparency isn’t just frustrating — it’s increasingly problematic as AI becomes more integrated into critical areas of our lives. What is Explainability AI (XAI)? It’s particularly useful in natural language processing [3].

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The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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2024 Tech breakdown: Understanding Data Science vs ML vs AI

Pickl AI

AI comprises Natural Language Processing, computer vision, and robotics. Skills Proficiency in programming languages (Python, R), statistical analysis, and domain expertise are crucial. How does AI differ from Machine Learning? Data Science extracts insights from vast data, which is crucial for industries.