Today we’re joined by Markus Nagel, research scientist at Qualcomm AI Research, who helps us kick off our coverage of NeurIPS 2023. In our conversation with Markus, we cover his accepted papers at the conference, along with other work presented by Qualcomm AI Research scientists. Markus’ first paper, Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing, focuses on tackling activation quantization issues introduced by the attention mechanism and how to solve them. We also discuss Pruning vs Quantization: Which is Better?, which focuses on comparing the effectiveness of these two methods in achieving model weight compression. Additional papers discussed focus on topics like using scalarization in multitask and multidomain learning to improve training and inference, using diffusion models for a sequence of state models and actions, applying geometric algebra with equivariance to transformers, and applying a deductive verification of chain of thought reasoning performed by LLMs.
The complete show notes for this episode can be found at twimlai.com/go/663.
Open Source Generative AI at Hugging Face with Jeff Boudier - #624
Generative AI at the Edge with Vinesh Sukumar - #623
Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622
Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621
Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620
Robotic Dexterity and Collaboration with Monroe Kennedy III - #619
Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618
Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611
Service Cards and ML Governance with Michael Kearns - #610
Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609
Will ChatGPT take my job? - #608
Geospatial Machine Learning at AWS with Kumar Chellapilla - #607
Real-Time ML Workflows at Capital One with Disha Singla - #606
Weakly Supervised Causal Representation Learning with Johann Brehmer - #605
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