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Generative AI & Copilot

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Inhoud geleverd door Hans Demeyer. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Hans Demeyer of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

An in-depth overview of generative AI, its applications, and the role of AI copilots in enhancing business operations. It also includes practical tips for using AI effectively and securely. About the Author: Hans Demeyer is an expert in AI, technology, and communication, with extensive experience in NLP and sales techniques. He focuses on integrating neuroscience and psychology into business processes.

Generative AI Explained: Generative AI creates new content such as music, images, and text using advanced algorithms like neural networks and GANs. It is a subset of deep learning within the machine learning domain.

Applications of Generative AI: Generative AI is used in various sectors including creative industries, healthcare, design, manufacturing, and marketing to automate processes and develop new products.

Difference Between Generative AI and AGI: Generative AI performs specific tasks like generating text or images, while AGI refers to a hypothetical AI that matches or surpasses human intelligence across a wide range of tasks.

Use Cases for AI Copilot in SMEs: AI Copilot can automate customer service, create marketing content, assist in financial reporting, support HR tasks, aid in product development, manage customer relationships, and analyze data for SMEs

Future Scenarios for AI in SMEs: AI can enable proactive market forecasts, hyper-personalized customer experiences, automated innovation, predictive maintenance, and virtual advisory services, transforming SME operations.

Maximizing Copilot Productivity: Copilot enhances productivity by automating tasks, improving decision-making, fostering creativity, facilitating collaboration, and providing personalized assistance.

Creating Effective Prompts: Effective prompts should be clear, specific, provide context, ask open-ended questions, avoid jargon, and use examples to elicit valuable AI responses. Building a Dialogue with Copilot: To interact effectively with Copilot, define objectives, gather information, structure prompts clearly, use examples, and iteratively refine prompts based on feedback.

Tailoring Copilot to Your Style: Copilot can be tailored to individual writing styles through examples, consistent feedback, specific prompts, and an iterative approach, despite lacking a memory feature.

  continue reading

19 afleveringen

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iconDelen
 
Manage episode 445728673 series 3459183
Inhoud geleverd door Hans Demeyer. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Hans Demeyer of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

An in-depth overview of generative AI, its applications, and the role of AI copilots in enhancing business operations. It also includes practical tips for using AI effectively and securely. About the Author: Hans Demeyer is an expert in AI, technology, and communication, with extensive experience in NLP and sales techniques. He focuses on integrating neuroscience and psychology into business processes.

Generative AI Explained: Generative AI creates new content such as music, images, and text using advanced algorithms like neural networks and GANs. It is a subset of deep learning within the machine learning domain.

Applications of Generative AI: Generative AI is used in various sectors including creative industries, healthcare, design, manufacturing, and marketing to automate processes and develop new products.

Difference Between Generative AI and AGI: Generative AI performs specific tasks like generating text or images, while AGI refers to a hypothetical AI that matches or surpasses human intelligence across a wide range of tasks.

Use Cases for AI Copilot in SMEs: AI Copilot can automate customer service, create marketing content, assist in financial reporting, support HR tasks, aid in product development, manage customer relationships, and analyze data for SMEs

Future Scenarios for AI in SMEs: AI can enable proactive market forecasts, hyper-personalized customer experiences, automated innovation, predictive maintenance, and virtual advisory services, transforming SME operations.

Maximizing Copilot Productivity: Copilot enhances productivity by automating tasks, improving decision-making, fostering creativity, facilitating collaboration, and providing personalized assistance.

Creating Effective Prompts: Effective prompts should be clear, specific, provide context, ask open-ended questions, avoid jargon, and use examples to elicit valuable AI responses. Building a Dialogue with Copilot: To interact effectively with Copilot, define objectives, gather information, structure prompts clearly, use examples, and iteratively refine prompts based on feedback.

Tailoring Copilot to Your Style: Copilot can be tailored to individual writing styles through examples, consistent feedback, specific prompts, and an iterative approach, despite lacking a memory feature.

  continue reading

19 afleveringen

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