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  • Writer's picture17GEN4 AI TECH

The AI Conversation

Updated: Mar 30




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What Is Shadow AI And What Can IT Do About It? - Unsanctioned generative AI use is only growing inside organizations. Here’s what IT can do to support its workforce while keeping businesses safe.

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12/10/23


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The AI Conversation



  • Customized Enterprise Generative AI Models: Businesses are increasingly interested in AI models tailored to specific needs. This trend involves modifying existing AI models to cater to niche markets, such as customer support or document review. Customized AI models can potentially be used in matchmaking services to provide more personalized and efficient matching algorithms​​.

  • The Limits of Monolithic LLMs and Emergence of Specialized Models: Large language models (LLMs) like GPT-4 are reaching a point where adding more parameters may yield diminishing returns. There is a shift towards using a mixture of smaller, more specific models, possibly including those for matchmaking and relationship services​​.

  • Shadow AI: This trend involves the use of AI within an organization without formal IT department approval. As AI becomes more accessible, it's being used independently by non-technical workers. This could include AI matchmaking tools developed and used within organizations without formal oversight​​.

  • Legal Challenges and New Regulations: The AI field is seeing an increase in lawsuits and regulatory actions, including those related to misuse and abuse of AI. This could impact how AI is used in matchmaking, particularly concerning privacy and ethical considerations​​.











1/18/24 - Altman believes future AI products will need to allow "quite a lot of individual customization" and "that's going to make a lot of people uncomfortable," because AI will give different answers for different users, based on their values preferences and possibly on what country they reside in. Exclusive: Altman says ChatGPT will have to evolve in “uncomfortable” ways_AXIOS


"We can respect an opt-out" from companies like the NYT he said, "but NYT content has been copied and not attributed all over the web" and OpenAI can't avoid training on that, he said.

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In case you missed it, Zoom has been brutally pilloried for a change it recently made to its terms of service. That change actually happened back in March, but people didn’t notice it until this week, when a blogger pointed out the policy shift in a post that went viral on Hacker News. The change, which came at the height of AI’s hype frenzy, gave Zoom an exclusive right to use user data to train future AI modules. More specifically, Zoom claimed a right to a “perpetual, worldwide, non-exclusive, royalty-free, sublicensable, and transferable license” to users’ data which, it was interpreted, included the contents of videoconferencing calls and user messages. Suffice it to say, the backlash was swift and thunderous, and the internet really spanked the company.


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A key element of the way that ChatGPT was trained—and something that sets it apart from chatbots over many years—is its use of reinforcement learning from human feedback (RLHF). RLHF is a process in which human AI trainers work with AI systems, providing rewards to help ChatGPT learn and correct its mistakes, to answer follow-up questions, and to automatically fix incorrect assumptions.

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AI CONVERSATION
AI CONVERSATION


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