Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
「大規模言語モデル入門」（2023）と「大規模言語モデル入門Ⅱ〜生成型LLMの実装と評価」（2024）のGitHubリポジトリ
| Date | Stars |
|---|---|
| 2026-07-31 | 474 |
| 2026-08-03 | 474 |
| 2026-08-06 | 474 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# 大規模言語モデル入門 <a href="https://gihyo.jp/book/2023/978-4-297-13633-8"><img src="misc/cover-small.png" width="200"></a> <a href="https://gihyo.jp/book/2024/978-4-297-14393-0"><img src="misc/cover-small2.png" width="200"></a> 「[大規模言語モデル入門](https://gihyo.jp/book/2023/978-4-297-13633-8)」（2023）と「[大規模言語モデル入門Ⅱ〜生成型LLMの実装と評価](https://gihyo.jp/book/2024/978-4-297-14393-0)」（2024）のリポジトリです。 ## コード コードはすべて Google Colaboratory で動作確認を行なっています。 コードの中で利用したデータセットや作成したモデルは[Hugging Face Hub](https://huggingface.co/llm-book)にて公開しています。 **⚠️ 2023/7/28 現在、MARC-ja のデータセットの配布元のリンクが切れており、書籍上の 5.2, 5.3, 5.5.4 に掲載されているコードにおいて、データセット読み込みの箇所でエラーが出る状態です。 現在問い合わせのメールを送り、復旧待機中です。** **これに応じて、日本語感情分析データセットである [WRIME](https://github.com/ids-cv/wrime) を使用したノートブックを追加致しましたので、コードを動作させたい方はご活用ください。** | 章 | 節／項 | Colab | Link | | --- | --- | --- | --- | | 第 1 章 はじめに | 1.1 transformers を使って自然言語処理を解いてみよう<br />1.2 transformers の基本的な使い方 | [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter01/1-introduction.ipynb) | [Link](https://github.com/ghmagazine/llm-book/blob/main/chapter01/1-introduction.ipynb) | | 第 2 章 Transformer | 2.2 エンコーダ | [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter02/2-2-transformer-position-encoding.ipynb) | [Link](https://github.com/ghmagazine/llm-book/blob/main/chapter02/2-2-transformer-position-encoding.ipynb) | | 第 3 章 大規模言語モデルの基礎 | 3.2 GPT（デコーダ）<br />3.3 BERT・RoBERTa（エンコーダ）<br />3.4 T5（エンコーダ・デコーダ）| [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter03/3-zero-shot-inference.ipynb) | [Link](https://github.com/ghmagazine/llm-book/blob/main/chapter03/3-zero-shot-inference.ipynb) | | | 3.6 トークナイゼーション | [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter03/3-6-tokenization.ipynb) | [Link](https://github.com/ghmagazine/llm-book/blob/main/chapter03/3-6-tokenization.ipynb) | | 第 5 章 大規模言語モデルのファインチューニング | 5.2 感情分析モデルの実装 | [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter05/5-2-sentiment-analysis-finetuning.ipynb) <br /> [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter05/5-2-sentiment-analysis-finetuning-wrime.ipynb) | [Link (MARC-ja)](https://github.com/ghmagazine/llm-book/blob/main/chapter05/5-2-sentiment-analysis-finetuning.ipynb) <br /> [Link (WRIME)](https://github.com/ghmagazine/llm-book/blob/main/chapter05/5-2-sentiment-analysis-finetuning-wrime.ipynb) | | | 5.3 感情分析モデルのエラー分析 | [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter05/5-3-sentiment-analysis-analysis.ipynb) <br /> [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter05/5-3-sentiment-analysis-analysis-wrime.ipynb) | [Link (MARC-ja)](https://github.com/ghmagazine/llm-book/blob/main/chapter05/5-3-sentiment-analysis-analysis.ipynb) <br /> [Link (WRIME)](https://github.com/ghmagazine/llm-book/blob/main/chapter05/5-3-sentiment-analysis-analysis-wrime.ipynb) | | | 5.4.1 自然言語推論の実装（訓練）| [](https://colab.research.google.com/github/ghmagazine/llm-book/blob/main/chapter05/5-4-nli-finetuning.ipynb) | [Link](https://github.com/ghmagazine/llm-book/blob/main/chapter05/5-4-nli-finetuning.ipynb) | | | 5.4.1 自然言語推論の実装（分析）| [](https://colab
Excerpt of 14,164 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:841afaaa7740fb79, llm:Repository contains notebooks for books 'Introduction to Large Language Models' (2023) and 'Introduction to Large Language Models II — Implementation and Evaluation of Generative LLMs' (2024); language Jupyter Notebook; educational materials about LLMs.
matched fp:841afaaa7740fb79, llm:Repository contains notebooks for books 'Introduction to Large Language Models' (2023) and 'Introduction to Large Language Models II — Implementation and Evaluation of Generative LLMs' (2024); language Jupyter Notebook; educational materials about LLMs.
matched fp:841afaaa7740fb79, llm:Repository contains notebooks for books 'Introduction to Large Language Models' (2023) and 'Introduction to Large Language Models II — Implementation and Evaluation of Generative LLMs' (2024); language Jupyter Notebook; educational materials about LLMs.
matched fp:841afaaa7740fb79, llm:Repository contains notebooks for books 'Introduction to Large Language Models' (2023) and 'Introduction to Large Language Models II — Implementation and Evaluation of Generative LLMs' (2024); language Jupyter Notebook; educational materials about LLMs.