Introducing language models to robotics
In this first episode of Meet a Google Researcher, Drew Calcagno speaks with researchers Sharan Narang and Aakanksha Chowdhery, folks who theorized and coded the Pathways Language Model, or PaLM.
PaLM is a new advanced language model that achieves state-of-the-art performance on challenging language understanding and generation tasks.
In this interview, we learn about the significance of this particular language model, the implications of using unique capabilities of language models in robotics, and what that means for the future of technology.
Resources:
Read the Palm-SayCan blog post → https://goo.gle/3dGbCaO
Read the paper → https://goo.gle/3zV1EKo
Learn more about PaLM-SayCan → https://goo.gle/3bUmilR
Check out the ResearchBytes episode on PaLM-SayCan → https://goo.gle/3w5l12d
Follow Aakanksha on Twitter → https://goo.gle/3JIRmRX
Follow Aakanksha on YouTube → https://goo.gle/3bENlkW
Follow Sharan on Twitter → https://goo.gle/3bL7zK0
Follow Drew on Twitter → https://goo.gle/3BTvKR8
Follow Drew on YouTube → https://goo.gle/3PaLrGo
Chapters:
0:00 - Intro
0:40 - Intro of PaLM
0:58 - What is this research important?
1:55 - Researcher intros
2:24 - What are language models?
3:19 - What makes PaLM special?
4:05 - How do language models work?
5:58 - Where are we now in robotics research?
7:22 - What are the implications of reasoning in this type of model?
8:29 - What are the societal implications of this research?
9:50 - How do you ensure the data in language models is equitable and inclusive?
12:27 - What inspires you?
14:10 - What does the future look like?
Watch more episodes of Meet A Google Researcher → https://goo.gle/MeetAGoogleResearcher
Subscribe to the Google Research Channel → https://goo.gle/GoogleResearch
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