KAMEDEMY
toiee Lab 亀田学ぶことを楽しみ、もっと楽しむために「学ぶ力を同時にあげる」アプローチを実践したい人のためのニュースレター&コミュニティです
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 159 | Subscribers | Read | kamedemy.substack.com |
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AIを使った迷路作成から学ぶLLMの特性と限界
大規模言語モデルの「できること」と「苦手なこと」の本質的理解
ベクトルデータベースを理解しよう
RAGや、AIに自分や、自社のデータを扱わせることの意味や、正しい方法を理解できるように裏側の知識を学ぼう
意味が扱えるコンピューターの衝撃
誰もが受け入れ、当たり前としていますが、LLMは「初めて意味を扱っているように見える」コンピュータープログラムです
AI(LLM)の進化の方向性と、今現在、これから
過剰な期待、超汎用人工知能、スーパー知能、シンギュラリティーなど、不確実性が高く実現するかもわからない進化ではなく、実際に起きている現実における進化を解説
Authors
The writers behind this newsletter.
Ph.D（情報学(人工知能)で博士号を取得）後、大学で研究者、講師。その後、ソフトウェア会社を起業し譲渡。今は人の学習メカニズムの研究、ラーニングデザイン、ファシリテーションの体系化を行なっていつつ、情報発信。
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