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A new survey reveals that despite the hype around generative AI, real-world enterprise adoption remains low due to barriers like skills gaps, infrastructure constraints, and overall AI integration challenges.
Most developers find the best fit for their requirements and budget by starting with a large generative AI model to adapt to their own needs.
Despite growing interest, the majority of organizations face adoption hurdles such as infrastructure challenges and knowledge gaps.
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cnvrg.io , an Intel company and provider of artificial intelligence (AI) and large language model (LLM) platforms, today released the results of its 2023 ML Insider survey. While every industry appears to be racing toward AI, the annual ...