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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

In the modern business context, hyperautomation is a technological extrapolation to amplify the enterprise digital journey by accelerating crucial innovation initiatives, AI adoption, and driving digital decision-making. Simply put, it is a superior iteration of intelligent automation. This shift is expected to become the norm by 2024.

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The Top LLMs and AI Tools in 2024 So Far

ODSC - Open Data Science

Designed for robust text analytics and generation, DBRX excels in information retrieval, text summarization, machine translation, conversational AI, and content creation. Its key features include open-source accessibility, scalability, and seamless integration with the popular Databricks platform.

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ChatGPT: The Google Killer, Distributed Training with PyTorch and Azure ML, and Many Models Batch…

ODSC - Open Data Science

Five Ways to Safely Use Generative AI From workers using chatbots as research assistants to creating art through image generators and more, here are a few ways that you can safely use generative AI. Here’s how you can uncover actionable textual and geospatial patterns related to counter human trafficking using NLP.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.