These are also closely related to: "Harnessing the Power of Specialized Language Models like ChatGPT for Business Success"

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  Generative AI: Best practices for risk management

  By: Domino

  Type: White Paper

  Analysts disagree about the numbers. But everyone agrees: generative AI (GenAI) will affect every industry. Companies that embrace it stand to gain market share; those who don’t - well, you know what happens to laggards.

  You’ve heard about the massive potential of GenAI. A plethora of companies are using it right now to deliver cost savings, improved products, and other benefits. But GenAI also poses many critical challenges and risks for your organization, including a skills gap as well as extreme demands on your computing infrastructure.

  So, how can you ensure that you’re maintaining responsible AI principles from the start?

  Read on to discover key considerations in creating a responsible GenAI strategy.

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  Extend AI across your organization – with confidence

  By: Hewlett Packard Enterprise

  Type: White Paper

  As AI becomes ubiquitous, organizations aim to operationalize AI enterprise-wide, from machine learning to generative AI. This journey faces challenges like model customization, scaling projects, and skill gaps.

  This white paper explores strategies to extend AI confidently. Key topics include:

  • Overcoming challenges like customization, model progression, rapid change, vendor lock-in, and team needs
  • Enabling results across the AI lifecycle, from training to inference
  • Accelerating AI with supercomputing technology
  • Efficiently training models for faster production
  • Boosting productivity with expert guidance

  Read the full white paper to learn how HPE can help drive AI innovation in your organization.

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