written by GitHub Copilot and me.
- Game 4: Lee Sedol vs Alphago
- Shin Jinseo's Rating
- 🗞️ "AI is for reference only, I make my own moves"
- 🗞️ "AI stunts, heart pounding"
Thanks to AI, my understanding deepens as I keep playing one style. It's relatively easy to predict against other players who study AI.
During a big game, I sometimes ponder, "If I were an AI, where would I place my move?". However, it's crucial to find my own best move. I think I should learn from AI and develop my unique strengths.
It's undeniable that AI has provided immense help in advancing my Go skills. However, no matter how perfect the AI is, I believe there is still room for human spirit and competition to shine through. While playing Go, there are moves that the AI does not recommend, yet have a higher probability than what AI suggests. These moves may only come up once in a game, but I believe they represent human potential.
- KataGo: github: GTP engine and self-play learning in Go
- Leela Zero: github: Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
- GitHub Copilot is a new AI-powered code completion tool that helps you write code faster and more efficiently.
- Setup Copilot: Vscode, Neovim, SpaceVim, IntelliJ
- propmts.chat: A collection of prompts for the ChatGPT model.
- ChainBrain AI: Advanced ChatGPT prompts.
- Whisper: github
- BloombergGPT
- 50-billion parameter LLM tuned for finance
- announcements
- paper: summary
- PandasAI
- Hello World with Copilot
- OpenAI
- Marvin
- LMQL
- My LLM
- PandasAI
- HuggingFace