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| title: YouTube-Transcript-AI-Learner | |
| emoji: 🤖🎓YT📚🎥 | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: streamlit | |
| sdk_version: 1.17.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| 🤖🎓 AI Learner: Mastering YouTube Transcripts 📚🎥 | |
| This title uses emojis to represent the AI (🤖), learning (🎓), transcripts (📚), and YouTube videos (🎥), which conveys the main purpose of the AI learner in a visually appealing way. | |
| Transcript-AI-Learner-From-Youtube | |
| This example AI parses youtube timestamp transcript clips to make them useful as AI inputs. Input exerpts used are from interviews with pioneer Ilya Sutskever. | |
| 🌟 Ilya, a huge thank you for revolutionizing our world with your ML, Deep Learning, and RLHF wizardry! 🌍🤖 Watching your old videos with Lex from 4-5 years ago, it's amazing to witness how your master plan 📝 became a reality. 🎉 Congrats, mate! 🥳 For all of us daily programmers, AGI enthusiasts, and advanced science explorers, you've become a symbol of persistence 💪 and genius 🧠 in the field. Keep rockin' it and inspiring us all! 🎸🚀😁 | |
| 1. ML: | |
| 2. Theoretically optimal hypothesis regarding short programs | |
| 3. The shortest program that fits training data is the best possible generalization. | |
| 1. RL: | |
| 2. We figure out what the reward is by observation | |
| 3. We reward ourselves - it is our interpretation of our senses | |
| 4. There is only one true reward in life: existence vs. non-existence |