Generative AI has emerged, promising to revolutionize how we create and interact with technology. Large Language Models (LLMs) like Gemini have captured the imagination, generating human-like text, code, and creative content. But beyond the hype, developers must grasp this transformative technology's core concepts, tools, and ethical implications.
 
This talk is dedicated to demystifying generative AI, providing a clear and accessible overview for developers of all levels. We'll start by exploring the foundations: what LLMs are, how they work, and how they differ from traditional AI models. We'll delve into popular generative AI models like Transformers, GANs, and VAEs, highlighting their unique strengths and applications, ensuring you feel reassured and confident in your understanding.

Next, we'll dive into the practical side, showcasing essential tools and frameworks for working with LLMs, like Hugging Face Transformers, LangChain, Ollama and Gemini's API. We will illustrate how to navigate, select and harness these tools to build real-world applications.
 
Finally, we'll address the ethical considerations surrounding generative AI, discussing bias and misinformation. We'll emphasize the importance of responsible AI development and provide practical tips for building fair and transparent AI systems.

Takeaways for the Audience:
Gain a solid understanding of generative AI, LLMs, and related technologies.
Discover practical tools, frameworks and techniques for building real-world applications.
Learn how to address the ethical challenges of generative AI responsibly.
Be inspired to explore the vast potential of generative AI in their projects.