Discover the secret to training AI with less data! On this episode of Approximately Correct, we talk with Amii Fellow and Canada CIFAR AI Chair Lili Mou about the challenges of training large language models and how his research on Flora addresses memory footprint concerns.

Discover the secret to training AI with less data! On this episode of Approximately Correct, we talk with Amii Fellow and Canada CIFAR AI Chair Lili Mou about the challenges of training large language models and how his research on Flora addresses memory footprint concerns.

Discover the secret to training AI with less data!&nbsp;On this episode of Approximately Correct, we talk with Amii Fellow and Canada CIFAR AI Chair Lili Mou about the challenges of training large language models and how his research on Flora addresses memory footprint concerns.&nbsp;

The Future of LLMs: Smaller, Faster, Smarter

Approximately Correct: An AI Podcast from Amii brings you stories from the leading edge of artificial research. Go beyond the buzzwords to learn about the future of AI and machine learning from world-class researchers, leaders and thinkers. Hear the stories behind the science, meet the people advancing the technology and learn about AI's potential to transform our world.
Whether you're an AI enthusiast, a seasoned tech expert, or simply curious about the future, Approximately Correct is your essential guide to the ever-changing world of artificial intelligence.

Technology

Approximately Correct: An AI Podcast from Amii brings you stories from the leading edge of artificial research. Go beyond the buzzwords to learn about the future of AI and machine learning from world-class researchers, leaders and thinkers. Hear the stories behind the science, meet the people advancing the technology and learn about AI's potential to transform our world. Whether you're an AI enthusiast, a seasoned tech expert, or simply curious about the future, Approximately Correct is your essential guide to the ever-changing world of artificial intelligence.

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The Future of LLMs: Smaller, Faster, Smarter

The Future of LLMs: Smaller, Faster, Smarter