UI

生成AIの評価の中で、利用状況を前提としない言語評価や、
正解が一つという前提をおいた言語評価や、
３つ以上の立場の違いによる異なる方向への評価方法や、
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keyword

BERT: Bidirectional Encoder Representations from Transformers

BERTモデルを使った日本語テキスト感情分析プログラムの実装
https://qiita.com/kiyotaman/items/736d5d0e47dbfd419244

TransformerとGPTとBERTとEncoderとDecoderの関係を整理しておく
https://qiita.com/munaita_/items/bd5513c75e18ae04c1e0

MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
https://arxiv.org/abs/1909.02622

大規模言語モデルの進化と最新動向 (ver. 20240723)
https://qiita.com/compassinai/items/0be2b1139e63a4fa6f11

LLM で日本語文章校正したいメモ
https://qiita.com/syoyo/items/ab518927a51dcf03b071

僕自身のためのLLMメモまとめ
https://qiita.com/KomatsunaKinako/items/8a42c487ddcc49243b35

LLM　コード3
https://qiita.com/output_Tarou_dl/items/a41f78aa02d281981a77

LLM入門　コード１
https://qiita.com/output_Tarou_dl/items/51fbfb13975d2cd8a0f1

【論文読解メモ】LLaVA(Large Language and Vision Assistant)
https://qiita.com/LiberalArts/items/40107ba1855de509c6e3

https://qiita.com/LiberalArts/items/40107ba1855de509c6e3
https://qiita.com/aokikenichi/items/14ad95aacf2092aacbdd

LLMとゲノムバイオインフォマティクス
https://qiita.com/Yh_Taguchi/items/1f8b975182d9a33a00f7

Kaggle初めてのLLMコンペに参加しました
https://qiita.com/xxyc/items/154250c01a98aed66944

2023年末のElixirが出来ること⑤AI・LLM前編【Nx／Bumblebee】（最新Elixirのキャッチアップや、アドカレのネタ探しに読んでください）
https://qiita.com/piacerex/items/f6a73a8252a3f6093b1a

arxiv

title = BERT 1,307
https://arxiv.org/search/advanced?advanced=&terms-0-operator=AND&terms-0-term=BERT&terms-0-field=title&classification-physics_archives=all&classification-include_cross_list=include&date-filter_by=all_dates&date-year=&date-from_date=&date-to_date=&date-date_type=submitted_date&abstracts=show&size=50&order=-announced_date_first

BERT or FastText? A Comparative Analysis of Contextual as well as Non-Contextual Embeddings
https://arxiv.org/pdf/2411.17661

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