Comment les grands modèles de langage changent mon travail

TOWARDS A NEW ERA: THE RISE OF GENERATIVE AI

GENERATIVE ARTIFICIAL INTELLIGENCE AND ITS IMPACT ON PROFESSIONALS

Generative artificial intelligence, and large language models in particular, are revolutionizing the way both technical and creative professionals carry out their work. Programmers, for instance, can now obtain code segments by prompting large language models. Moreover, tools integrated into graphic arts software packages like Adobe Illustrator enable designers to create illustrations, images, or patterns by simply describing them.

FORESEEING THE FUTURE: PREDICTIONS AND CHALLENGES

Analysts predict significant changes in employment due to the rise of generative AI. The tech industry’s prominent figures are already grappling with both real and imagined transformations brought about by generative AI. To gain insights into how these individuals envision the future of generative AI, IEEE Spectrum interviewed three luminaries – an academic leader, a regulator, and a semiconductor industry executive. Andrea Goldsmith, Juraj Čorba, and Samuel Naffziger shared their perspectives at the 2024 IEEE VIC Summit & Honors Ceremony Gala in Boston.

ANDREA GOLDSMITH’S PERSPECTIVE

Andrea Goldsmith, Dean of Engineering at Princeton University, acknowledges the significant pressure to allocate resources towards large language models. However, she emphasizes the need for universities to get creative in their approach, especially those without the vast resources of elite institutions. She highlights the importance of leveraging existing resources to innovate using AI technology, focusing on areas such as disease prognosis, cellular changes prediction, and materials science advancement. Goldsmith also emphasizes the role of government initiatives, such as NAIRR, in providing access to compute power and data for academic researchers.

JURAJ ČORBA’S INSIGHTS

Juraj Čorba, a senior expert on digital regulation and governance at the Slovak Ministry of Investments, sheds light on the key organizations and governing bodies in Europe leading the way in AI policy and governance. He discusses the European Union’s proactive stance on AI regulation, particularly with the adoption of the EU AI Act. Čorba highlights the unique challenges posed by large language models in regulatory frameworks and the Council of Europe’s efforts to address issues like propaganda, false information, and deep fakes.

SAMUEL NAFFZIGER’S VIEW

Samuel Naffziger, Senior Vice President at Advanced Micro Devices, shares insights on how large language model training is influencing the work at AMD. He discusses the impact of LLMs on productivity enhancements and the development of AI accelerators like the Instinct MI300X. Naffziger also delves into the strategic decisions behind the design of the MI300X, emphasizing the focus on AI workloads and the integration of chiplets for enhanced performance.

THE FUTURE OF AI EVOLUTION

Naffziger predicts a continued focus on high levels of integration and performance through chiplets and 3D stacking in response to the growing demand for compute power in AI systems. He emphasizes the economic benefits of achieving higher levels of integration and performance while highlighting the challenges that come with thermal management in these advanced designs.

In conclusion, the rise of generative AI and large language models signifies a transformative shift in the professional landscape, challenging traditional norms and pushing industries towards innovative solutions. As we navigate this new era of AI advancement, it is essential to adapt, collaborate, and embrace the opportunities that these technologies offer for shaping a more efficient and productive future.

References:

  1. IEEE Spectrum – Generative Artificial Intelligence
  2. IEEE Spectrum – Large Language Models

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Written by Mathieu

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