Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Weakly Supervised Causal Representation Learning with Johann Brehmer - #605

Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of the broader problems that causality will help us solve, before turning our focus to Johann’s paper Weakly supervised causal representation learning, which seeks to prove that high-level causal representations are identifiable in weakly supervised settings. We also discuss a few other papers that the team at Qualcomm presented, including neural topological ordering for computation graphs, as well as some of the demos they showcased, which we’ll link to on the show notes page. The complete show notes for this episode can be found at twimlai.com/go/605.

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Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651

Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651

Today we’re joined by Sara Hooker, director at Cohere and head of Cohere For AI, Cohere’s research lab. In our conversation with Sara, we explore some of the challenges with multilingual models like p...

16 Loka 20231h 18min

Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650

Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650

Today we’re joined by Luke Zettlemoyer, professor at University of Washington and a research manager at Meta. In our conversation with Luke, we cover multimodal generative AI, the effect of data on mo...

9 Loka 202338min

Pushing Back on AI Hype with Alex Hanna - #649

Pushing Back on AI Hype with Alex Hanna - #649

Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tacklin...

2 Loka 202349min

Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

Today we’re joined by Nataniel Ruiz, a research scientist at Google. In our conversation with Nataniel, we discuss his recent work around personalization for text-to-image AI models. Specifically, we ...

25 Syys 202344min

Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

Today we’re joined by Shreya Rajpal, founder and CEO of Guardrails AI. In our conversation with Shreya, we discuss ensuring the safety and reliability of language models for production applications. W...

18 Syys 202340min

What’s Next in LLM Reasoning? with Roland Memisevic - #646

What’s Next in LLM Reasoning? with Roland Memisevic - #646

Today we’re joined by Roland Memisevic, a senior director at Qualcomm AI Research. In our conversation with Roland, we discuss the significance of language in humanlike AI systems and the advantages a...

11 Syys 202359min

Is ChatGPT Getting Worse? with James Zou - #645

Is ChatGPT Getting Worse? with James Zou - #645

Today we’re joined by James Zou, an assistant professor at Stanford University. In our conversation with James, we explore the differences in ChatGPT’s behavior over the last few months. We discuss th...

4 Syys 202342min

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural repr...

28 Elo 202345min

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