13 What is a generative AI model – AI Basics Microsoft Copilot OpenAi ChatGPT Deepseek
Whether you're new to AI or building on existing knowledge, this course has equipped you with a clear understanding of how generative AI creates new content and why it matters in today’s digital world.
What is Generative AI?
Generative AI refers to AI systems that can create original content such as text, images, audio, and video by learning from large datasets.
How It Works:
Using advanced models like GANs (Generative Adversarial Networks) and transformers (e.g., GPT), generative AI identifies patterns in data and generates new, realistic outputs based on those patterns.
Common Applications:
Content creation (blogs, emails, scripts)
Image and video generation
Code writing and debugging
Chatbots and virtual assistants
Personalized marketing and design
Key Terms Explained: Large Language Models (LLMs): AI models trained on vast amounts of text to generate human-like responses.
Prompt Engineering: The practice of crafting inputs to get the best results from AI models.
AI-Generated Content: Media created entirely by AI tools, including text, images, and music.
Bias & Ethics in AI: Understanding limitations, potential biases, and responsible use of generative AI.
Benefits and Challenges: While generative AI boosts creativity, productivity, and personalization, it also raises concerns around accuracy, intellectual property, and ethical usage.
Why This Matters:
Generative AI is transforming how we work, communicate, and create. From business professionals to educators and creators, understanding its capabilities and limitations allows you to use it wisely and responsibly — both now and in the future.
Ready to take your knowledge further? Consider exploring:
• Intermediate courses on prompt engineering or AI ethics.
• Hands-on experience using generative AI tools like chatbots, image generators, or code assistants.
• Industry-specific applications of generative AI in marketing, customer service, or software development.
Generative AI is more than just a trend, it's reshaping the way we interact with technology and unlock creativity. With the knowledge you've gained, you're now better prepared to explore, apply, and make informed decisions about this powerful technology.
#ai #artificialintelligence #artificialintelligencetechnology #microsoft #copilotai
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Disclaimer:
The opinions expressed in this video are those of the hosts and guests and do not necessarily reflect the views of Black Armour Graphics & Projects and 3rd parties involved.
The content provided is for entertainment, education and information purposes only.
We make no representations regarding accuracy or completeness, and thus we are not liable for any errors or omissions in the information.
Viewers and listeners are strongly advised to perform research and use the information provided at their own risk.
Whether you’re new to AI or building on existing knowledge, this course has equipped you with a clear understanding of how generative AI creates new content and why it matters in today’s digital world.
What is Generative AI?
Generative AI refers to AI systems that can create original content such as text, images, audio, and video by learning from large datasets.
How It Works:
Using advanced models like GANs (Generative Adversarial Networks) and transformers (e.g., GPT), generative AI identifies patterns in data and generates new, realistic outputs based on those patterns.
Common Applications:
Content creation (blogs, emails, scripts)
Image and video generation
Code writing and debugging
Chatbots and virtual assistants
Personalized marketing and design
Key Terms Explained: Large Language Models (LLMs): AI models trained on vast amounts of text to generate human-like responses.
Prompt Engineering: The practice of crafting inputs to get the best results from AI models.
AI-Generated Content: Media created entirely by AI tools, including text, images, and music.
Bias & Ethics in AI: Understanding limitations, potential biases, and responsible use of generative AI.
Benefits and Challenges: While generative AI boosts creativity, productivity, and personalization, it also raises concerns around accuracy, intellectual property, and ethical usage.
Why This Matters:
Generative AI is transforming how we work, communicate, and create. From business professionals to educators and creators, understanding its capabilities and limitations allows you to use it wisely and responsibly — both now and in the future.
Ready to take your knowledge further? Consider exploring:
• Intermediate courses on prompt engineering or AI ethics.
• Hands-on experience using generative AI tools like chatbots, image generators, or code assistants.
• Industry-specific applications of generative AI in marketing, customer service, or software development.
Generative AI is more than just a trend, it’s reshaping the way we interact with technology and unlock creativity. With the knowledge you’ve gained, you’re now better prepared to explore, apply, and make informed decisions about this powerful technology.
#ai #artificialintelligence #artificialintelligencetechnology #microsoft #copilotai
—
📢 GET IN TOUCH WITH ME
► https://linktr.ee/BlackArmProjects
💰 SUPPORT/DONATE TO THE CHANNEL
► Paypal: https://paypal.me/87thkobe?country.x=ZA&locale.x=en_US
—
✨ Take control of your Money | 🤗 Personal Income and Finance Management
✔️ Download FREE Monthly Planning Budget Excel Spreadsheet:
► https://linktr.ee/BlackArmProjects
—
#PersonalDevelopment #ContentCreator #ContentCreation
#PersonalFinance #FinancialLiteracy #SaveMoney
#MasterClass #Mindset #Motivation
#SideHustle #BusinessIdea #MakeMoney
Disclaimer:
The opinions expressed in this video are those of the hosts and guests and do not necessarily reflect the views of Black Armour Graphics & Projects and 3rd parties involved.
The content provided is for entertainment, education and information purposes only.
We make no representations regarding accuracy or completeness, and thus we are not liable for any errors or omissions in the information.
Viewers and listeners are strongly advised to perform research and use the information provided at their own risk.
