The Language Model of Tomorrow: Charting the Course of Generative AI
Date & Time
Thursday, April 25, 2024, 1:30 PM - 2:00 PM

In this presentation we explore the progression and trends of generative AI, focused on large language models (LLMs) and small language models (SLMs). Beginning with an overview of their characteristics, use cases and values, the talk then forecasts key advancements in the evolution of LLMs, the rise of SLMs and their synergistic interplay. This exploration extends to examining the societal and economic impacts of these movements, addressing both the potential and the technology challenges they present. Crucially, the deep dive underscores the importance of navigating the associated risks, emphasizing the need for interdisciplinary collaboration, responsibility guidelines, and explainability considerations in generative AI development. By advocating for sustainable practices and effective governance, the analysis highlights the necessity of balancing technological innovation with ethical responsibility to ensure these advancements benefit society as a whole.

Why Should Someone Attend?

Attending this presentation will provide a unique opportunity to gain insights into the future landscape of language models, an area at the forefront of AI technology.

Participants will benefit from:

  • In-depth understanding of the latest developments in LLMs and SLMs.
  • Comprehensive analysis of the potential societal and economic impacts of these technologies.
  • Exposure to critical discussions on the ethical considerations and challenges in AI development, crucial for anyone involved in technology, business, academia, or policy-making.

What Will We Cover? The presentation will encompass:

  • Definitions and explorations of the characteristics, use cases, and values of both LLMs and SLMs.
  • Predictions and analysis of technological advancements in LLMs and SLMs, and their interplay.
  • Examination of societal, economic, and ethical impacts, including challenges and potential risks.
  • Discussion on the importance of interdisciplinary collaboration, responsibility, and sustainable AI development.

Top 3 Takeaways:

  1. Understanding of LLMs and SLMs: Gain a clear understanding of what Large and Small Language Models are, how they differ, and why they are significant in the current AI landscape.
  2. Insight into Future Trends: Learn about the predicted advancements in AI, specifically in language models, and how these technologies are expected to shape our societal and economic future.
  3. Awareness of Ethical Responsibility: Recognize the importance of ethical considerations, responsible AI development, and the need for collaborative efforts to ensure these technologies benefit society responsibly and sustainably.
Richard Shan