Hellow guys, Welcome to my website, and you are watching Highlights of the Fireside Chat with Ilya Sutskever & Jensen Huang: AI Today & Vision of the Future. and this vIdeo is uploaded by Xiao Yang at 2023-05-16T18:32:18-07:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | Highlights of the Fireside Chat with Ilya Sutskever & Jensen Huang: AI Today & Vision of the Future |
| Video Uploader | Video From Xiao Yang |
| Upload Date | This Video Uploaded At 17-05-2023 01:32:18 |
| Video Discription | This is the condensed version of the "Fireside Chat: With Ilya Sutskever and Jensen Huang: AI Today and Vision of the Future (March 2023)". In this video, I've carefully selected the top 10 questions from the original hour-long talk and condensed them into just over 30 minutes. Additionally, I've created a timeline of these questions asked by Jensen to Ilya, accompanied by relevant research papers. As machine transcription is often inaccurate, I manually transcribed the entire video (laborious), recognizing the importance of accurate captions for those with hearing difficulties. Anyways, you may find this information useful. If you're interested in more AI-related content, consider subscribing to my channel. Stay tuned for future uploads! Time-codes: 00:00:00 Q1. Intuition behind deep learning? 00:02:20 Q2. Initial motivations behind OpenAI? 00:07:54 Q3. Intuition about scaling laws (and RLHF)? 00:11:07 Q4. Aspects of ChatGPT and their abilities? 00:14:57 Q5. Major differences between GPT-4 and previous versions? 00:18:37 Q6. Reasoning capability of GPT-4 and limiting factors? 00:23:47 Q7. Importance of multi-modality? 00:28:53 Q8. How multi-modality helped improve GPT-4 over GPT-3? 00:30:46 Q9. Predictions for the next 2 years? 00:32:57 Q10. Surprising results? Relevant research papers: Learning to Generate Reviews and Discovering Sentiment https://arxiv.org/abs/1704.01444 Scaling Laws for Autoregressive Generative Modeling https://arxiv.org/abs/2010.14701 Training language models to follow instructions with human feedback https://arxiv.org/abs/2203.02155 |
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