In this informal interview, Stephen Carlini, a chief advocate for AI and data centers at Schneider Electric, discusses artificial intelligence's role in the future of learning technologies and data centers. The conversation delves into the complexities of AI data centers, different models of AI deployment, and the industry's evolution towards autonomous agents. Key topics include AI's impact on workforce development, its benefits and challenges within enterprises, and Stephen's perspectives on AI tools and trends.
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The speaker explores different cultural prompts using the GROK AI model and analyzes the responses based on different regions and cultural backgrounds.
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The video showcases examples of zero shot, few shot, and one shot training using AI Copilot to provide instant responses and categorizations based on given prompts. The AI demonstrates reasoning based on examples and provides accurate answers.
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In this video, the speaker uses Microsoft Copilot and GPT-4 to work through grammar exercises. They discuss chain of thought prompting, reasoning, and the correct answers provided by the AI. They also explore the AI's memory capabilities and language model.
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In this video, the creator compares the responses of Chat GPT and Copilot AI to the same prompts. Both AI systems provided different results and justifications, revealing differences in their engines and response details. However, they were mostly accurate and similar in their responses. The video also discusses the differences in their approach to punctuation and comma usage based on rule sets, highlighting how they interpreted prompts differently.
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