I am a technology journalist with three decades of press experience. Primarily I work as a news analysis writer dedicated to a software application development ‘beat’. I have spent much of the last twenty years focusing on open source, analytics & data science, cloud computing, mobile devices & data management.
AI is double-ended. Most users’ exposure levels to AI services comes in the form of upper-level chatbot interfaces, automated smart application functions or the AI found in the new breed of generative Artificial Intelligence tools such as Microsoft Copilot, Google Gemini and of course Chat GPT .
According to Cornely and team, “GPT-in-a-Box 2.0 will bring Nutanix simplicity to the user experience with a built-in Graphical User Interface, role-based access control, auditability and dark site support , among other benefits.” As noted, Nutanix also announced a partnership with Hugging Face to provide access to the Hugging Face library and execution of Large Language Models . This means AI app developers can use Nutanix GPT-in-a-Box 2.0 to consume validated LLMs from Hugging Face and execute them.
Given that removing errors from our new AI services and eradicating bias and AI hallucinations is of paramount interest, these could be helpful developments. Slicker AI infrastructure might also be argued to produce more efficient code and - in a world that now thankfully champions green coding sustainability - this is also a good thing.
Hugging Face Large Artificial Intelligence GPT Nvidia Nutanix AI Infrastructure
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