What you'll learn:
- Identify and explain the potential benefits and drawbacks of Generative AI across various applications.
- Evaluate the ethical implications of deepfakes, a product of Generative AI and articulate best practices for responsible use and detection.
- Discuss the data privacy and security concerns associated with Generative AI development and deployment.
- Apply frameworks for responsible development and deployment of Generative AI in a real-world context.
Master the cutting edge of AI, responsibly.
Generative AI (GenAI) using Large Language Models (LLMs) like ChatGPT and Google Gemini are revolutionizing the way we interact with technology. But with great power comes great responsibility. This course equips you to understand the ethical implications of LLMs and ensure their responsible use.
What You'll Learn:
The potential benefits and drawbacks of Generative AI.
Understanding bias in AI and how it impacts LLM outputs.
The rise of deep fakes and the ethical concerns surrounding them.
Data privacy and security considerations with Generative AI.
Frameworks for responsible development and deployment of LLMs.
What Students Are Saying
"The material is presented in a very human and approachable manner. This is a good use of time for anyone interested in the ethical dilemmas of AI and the changing tech of the modern world." -Daniel G
"Really attention grabbing!" -Flor B
"Very engaging speaker; able to simplify concepts for the audience." -Marion R
Who Should Enroll:
Developers & Programmers: Working with LLMs to create applications, you'll gain the knowledge to mitigate bias, ensure data privacy, and build trust with users.
Business Professionals: Integrating LLMs into marketing, customer service, or content creation? Learn how to leverage their power ethically and responsibly.
Policymakers & Legislators: Shaping the future of AI requires an understanding of ethical considerations. This course equips you to create future-proof regulations.
Educators & Researchers: Developing the next generation of AI? Learn how to promote ethical practices within your field.
Content Creators & Writers: Exploring the use of LLMs for content generation? This course will help you navigate issues of authorship, plagiarism, and responsible use.
Journalists & Media Professionals: Combating misinformation and deepfakes is crucial. Gain the knowledge to identify potential issues and ensure ethical reporting.
Anyone Interested in AI's Future: This course offers a comprehensive understanding of the ethical landscape surrounding LLMs, preparing you for a future driven by AI.
This course is designed to be accessible and informative, regardless of your professional background.
Don't be left behind in the AI revolution. Enroll today and become a leader in the responsible use of Generative AI (GenAI).
Many thanks!
Steve Ballinger
Udemy Instructor
Demystifying AI: Your Frequently Asked Questions Answered
Artificial intelligence (AI) is a rapidly evolving field with a lot of buzz surrounding it. But what exactly is it, and how does it work? This post dives into the world of AI, answering some of your most frequently asked questions.
1. What is Artificial Intelligence (AI)?
AI is a broad term encompassing the intelligence displayed by machines, particularly computer systems. It's about creating intelligent agents that can perceive their environment, learn from data, and take actions to achieve specific goals. There are different types of AI, but most commonly we see:
Narrow AI (Weak AI): This type excels at performing specific tasks, like playing chess or recognizing faces.
General AI (Strong AI): This hypothetical AI would possess human-level intelligence and be able to perform any intellectual task a human can.
2. What is Generative AI?
Generative AI is a subfield of AI that focuses on creating new data, like text, images, or even code. It uses complex algorithms, often inspired by how the human brain works, to analyze existing data and then generate entirely new pieces of content that follow the same patterns.
For example, generative AI can be used to create realistic-looking images of people who don't actually exist, or to write different creative text formats, like poems or scripts.
3. What are LLMs (Large Language Models)?
LLMs are a type of AI model trained on massive amounts of text data. This allows them to process information and respond to questions in a way that simulates human conversation. I, for instance, am a large language model!
LLMs are used in a variety of applications, including chatbots, virtual assistants, and machine translation. They're constantly evolving, becoming better at understanding and responding to complex queries.
4. What is ChatGPT and Google Gemini.
ChatGPT and Gemini are both large language models, but we're developed by different companies. ChatGPT is from OpenAI, while Gemini is a product of Google AI. They share many capabilities, like generating text, translating languages, and writing different kinds of creative content. However, they may have different strengths and weaknesses, as they are trained on different datasets and have unique underlying algorithms.
