AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - 616
Can causality be the key to up-leveling the large language model?
Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advances in areas like causal discovery, causal representation learning, and causal judgments. We also discuss the impact causality could have on large language models, especially in recent use cases like #Bing Search and #ChatGPT. Finally, we discuss the benchmarks for causal modeling, the top causality use cases, and the most exciting opportunities in the field.
🔔 Subscribe to our channel for more great content just like this: https://youtube.com/twimlai?sub_confirmation=1
🗣️ CONNECT WITH US!
===============================
Subscribe to the TWIML AI Podcast: https://twimlai.com/podcast/twimlai/
Join our Slack Community: https://twimlai.com/community/
Subscribe to our newsletter: https://twimlai.com/newsletter/
Want to get in touch? Send us a message: https://twimlai.com/contact/
🔗 LINKS & RESOURCES
===============================
The complete show notes for this episode can be found at https://twimlai.com/go/616
📸 Camera: https://amzn.to/3TQ3zsg
🎙️Microphone: https://amzn.to/3t5zXeV
🚦Lights: https://amzn.to/3TQlX49
🎛️ Audio Interface: https://amzn.to/3TVFAIq
🎚️ Stream Deck: https://amzn.to/3zzm7F5
Видео AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - 616 канала The TWIML AI Podcast with Sam Charrington
Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advances in areas like causal discovery, causal representation learning, and causal judgments. We also discuss the impact causality could have on large language models, especially in recent use cases like #Bing Search and #ChatGPT. Finally, we discuss the benchmarks for causal modeling, the top causality use cases, and the most exciting opportunities in the field.
🔔 Subscribe to our channel for more great content just like this: https://youtube.com/twimlai?sub_confirmation=1
🗣️ CONNECT WITH US!
===============================
Subscribe to the TWIML AI Podcast: https://twimlai.com/podcast/twimlai/
Join our Slack Community: https://twimlai.com/community/
Subscribe to our newsletter: https://twimlai.com/newsletter/
Want to get in touch? Send us a message: https://twimlai.com/contact/
🔗 LINKS & RESOURCES
===============================
The complete show notes for this episode can be found at https://twimlai.com/go/616
📸 Camera: https://amzn.to/3TQ3zsg
🎙️Microphone: https://amzn.to/3t5zXeV
🚦Lights: https://amzn.to/3TQlX49
🎛️ Audio Interface: https://amzn.to/3TVFAIq
🎚️ Stream Deck: https://amzn.to/3zzm7F5
Видео AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - 616 канала The TWIML AI Podcast with Sam Charrington
TWiML & AI Podcast Tech Technology ML AI Machine Learning Artificial Intelligence Sam Charrington data science computer science deep learning robert osazuwa ness causal modeling large language models gpt-3 chatgpt microsoft bing open ai causality counterfactuals causal selection causal judgements causal representation learning inductive bias causal discovery pywhy y0 SayCan a* search deepmind MILA
Комментарии отсутствуют
Информация о видео
14 февраля 2023 г. 17:00:10
01:52:21
Другие видео канала