TechNet Cyber Supporting Partner Opportunities

The panel discussion on Generative AI and curated Large Language Models (LLM) will explore several key topics, including the development, applications, ethical considerations, and future directions of these technologies. Some of the potential discussion points will include:  

1. Development of Generative AI and LLM: The panel will begin with an overview of the progress in generative AI, focusing on how these technologies have evolved. This will include technical advancements, the growing complexity of models, and the challenges of training large-scale models.  

2. Applications and Use Cases: Discussion will move to the diverse applications of generative AI, from content creation to practical business applications (like automated customer service, workforce productivity, and predictive modeling). The panel could explore specific examples where LLMs have been particularly transformative.  

3. Ethical Considerations: A portion of the conversation will be dedicated to the ethical implications of generative AI. This will cover issues such as data privacy, the potential for misuse (including the generation of deepfakes or disinformation), biases embedded in AI models, and the impact on jobs and the workforce.  

4. Curated LLMs: The discussion will look at the concept of curated Large Language Models, emphasizing how curation can improve the reliability, accuracy, and safety of AI outputs. This section may address methods for curating data and models, the role of human oversight, and strategies for minimizing biases.  

5. Future Directions: Finally, the panel will talk briefly about the future of generative AI and LLMs. This could include upcoming technological breakthroughs, potential new applications, and the evolving landscape of regulation and governance. The conversation might also touch on the importance of interdisciplinary collaboration in advancing these technologies responsibly.  

The session will conclude with a Q&A segment, allowing the audience to engage directly with the panelists, ask questions, and share their perspectives on the future of generative AI and LLMs. Throughout, the discussion will highlight the balance between leveraging the powerful capabilities of generative AI for innovation and addressing the significant ethical challenges they present.