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10 most in-demand generative AI skills

CIO Business Intelligence

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

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Multilingual Question Answering in Medicine based on XLM-RoBERTa

Ontotext

Challenges Medical multilingual question answering (QA) presents several challenges stemming from the diverse nature of medical terminologies and linguistic variations. This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products.

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

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The InnoGraph Artificial Intelligence Taxonomy

Ontotext

The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. By exploring the topic nlp , we find 26.7k uie paddlenlp ).

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5 types of chatbot and how to choose the right one for your business

IBM Big Data Hub

Chatbots have made our lives easier by providing timely answers to our questions without the hassle of waiting to speak with a human agent. Chatbots have made our lives easier by providing timely answers to our questions without the hassle of waiting to speak with a human agent.

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How to responsibly scale business-ready generative AI

IBM Big Data Hub

Imagine the possibilities of providing text-based queries and opening a world of knowledge for improved learning and productivity. With generative AI , search becomes dramatically different. Instead of providing links to multiple articles, the user will receive direct answers synthesized from a myriad of data.

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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.