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10 Best AI Tools for Small Manufacturers (February 2025)

Unite.AI

Notably, MRPeasy was among the first manufacturing ERP providers to integrate an AI-powered assistant: an in-app chatbot that answers user queries in natural language. AI integration (the Mr. Peasy chatbot) further enhances user experience by providing quick, automated support and data retrieval. Visit MRPeasy 2.

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Generative AI in Healthcare: Use Cases, Benefits, and Challenges

John Snow Labs

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

Instead of navigating complex menus or waiting on hold, they can engage in a conversation with a chatbot powered by an LLM. They can process and analyze large volumes of text data efficiently, enabling scalable solutions for text-related challenges in industries such as customer support, content generation, and data analysis.

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Generative AI in Healthcare

John Snow Labs

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

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Generative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock

AWS Machine Learning Blog

Most companies are unable to use their field trial data based on manual processes and disparate systems. Agmatix’s trial management and agronomic data analysis infrastructure can collect, manage, and analyze agricultural field trials data. The transformed data acts as the input to AI/ML services.