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.
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Responsible AI in the Generative Era with Michael Kearns - #662
Edutainment for AI and AWS PartyRock with Mike Miller - #661
Data, Systems and ML for Visual Understanding with Cody Coleman - #660
Patterns and Middleware for LLM Applications with Kyle Roche - #659
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658
Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657
Visual Generative AI Ecosystem Challenges with Richard Zhang - #656
Deploying Edge and Embedded AI Systems with Heather Gorr - #655
AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652
Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651
Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650
Pushing Back on AI Hype with Alex Hanna - #649
Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648
Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647
What’s Next in LLM Reasoning? with Roland Memisevic - #646
Is ChatGPT Getting Worse? with James Zou - #645
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