AlphaCode Attention Visualization Hover over tokens in the solution to see which tokens the model attended to when generating the solution. Click a token to select it; clicking in empty space will deselect. Solutions were selected randomly, keeping at most one correct (passes all test cases in our dataset) and one incorrect sample per problem and language. Note that since our dataset only has ...

Explore how moves played by AlphaGo compare to those of professional and amateur players. This tool provides analysis of thousands of the most popular opening sequences from the recent history of Go, using data from 231,000 human games and 75 games that DeepMind's AlphaGo played against human players

This work shows how models like Ithaca can unlock the cooperative potential between AI and historians, transformationally impacting the way we study and write about one of the most …

通过对 AlphaGo 和职业与业余棋手的下法进行比较，探索围棋的奥妙。基于 231,000 盘人类棋手对局以及 75 盘 AlphaGo 与人类棋手对局的数据，本工具提供对围棋近代史上数千种开局变化的分析。

AlphaGo と棋士たちの手を比較してみましょう。 このツールは、よくある序盤パターンを、人同士が打った 231,000 局と、DeepMind 開発の AlphaGo が人と対局した 75 局の棋譜データから分析することができます。

通過對 AlphaGo 和職業與業餘棋手的下法進行比較，探索圍棋的奧妙。基於 231,000 盤人類棋手對局以及 75 盤 AlphaGo 與人類棋手對局的數據，本工具提供對圍棋近代史上數千種開局變化的分析。

알파고의 수들이 프로 및 아마 강자의 수들과 어떻게 다른지 알아보세요. 이 툴은 총 231,000판의 사람 간 대국과 딥마인드 알파고의 대국 75판을 분석해 선별한 가장 많이 두어진 포석 수 천가지의 연구 결과를 제공합니다