

NeurIPS 24: Faster than Flash Attention
14 snips Dec 18, 2024
In this discussion, Sepp Hochreiter, a pioneer in advanced language models, shares insights from the NeurIPS conference. He reveals exciting details about the xLSTM 7B model, emphasizing its efficiency and unique features that differentiate it from typical LLMs. The conversation dives into the evolving landscape of AI in Europe, touching upon challenges and innovations that balance human creativity with technology. Hochreiter also discusses the rapid advancements in machine learning, particularly regarding the energy efficiency and speed of new frameworks.
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NeurIPS Experience
- Robert Weber was tired after returning from NeurIPS in Vancouver, a conference with over 16,000 attendees.
- He highlighted meeting Max Welling (Casp AI) and Fei Fei Li, noting the open atmosphere and ease of interaction with AI stars.
AI's Data Problem
- Sepp Hochreiter's keynote at NeurIPS discussed three phases of AI: research, scaling, and industrialization.
- A major concern among AI leaders like Fei Fei Li and Ilya Sutskever is the increasing scarcity of data to fuel further advancements.
Three Phases of AI
- Sepp Hochreiter categorizes AI development into three phases: basic research, scaling (exemplified by transformers), and industrialization.
- Industrialization involves adapting AI models to specific domains like industry and robotics, requiring new methods and architectures.