生成AIについての記事を書こうとしたら、既に神記事があった（80選）

# はじめに
こんにちは！
生成AIについてのひとりアドカレをやっています（この記事が24記事目です）。生成AIについての記事を書こうとしたら、既に神記事があるということがたくさんありました。全て保存していたので、一挙公開します。ジャンルごとにまとめました！

:::note info
- 全くMECEではないです！
- 一部記事以外の媒体も含みます
:::


# プロンプトエンジニアリング

https://note.com/programdiy/n/nc2f9566ac615

https://aismiley.co.jp/ai_news/what-is-prompt-engineering/

https://zenn.dev/zuma_lab/articles/openai-prompt-engineering-guide



https://qiita.com/yuno_miyako/items/1cbaa781c116800b4b91?utm_content=bufferdc54b&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

# プロンプトインジェクション対策

https://qiita.com/sakasegawa/items/09d9f6a485108f5a618a

https://qiita.com/tregu148/items/68fb25fa828003ce6f64

https://qiita.com/kayabon/items/11a868107e4b59f0dd6e

https://qiita.com/satoki/items/6220f9fe28a18ab1a79d

https://zenn.dev/karaage0703/articles/b55d3e4282325e

https://zenn.dev/umi_mori/articles/chatgpt-prompt-injection

# LangChain

https://speakerdeck.com/os1ma/llmwoshi-tutaapurikesiyonkai-fa-noji-ben-tolangchainchao-ru-men

https://tech-blog.abeja.asia/entry/advent-2023-day13

https://note.com/npaka/n/n0fd7bd3ed27b

https://qiita.com/moritalous/items/7ceccbf809cc2f35ded2

https://qiita.com/BlueberryAIxR/items/8790eb4fbac425c38be9

https://qiita.com/sakasegawa/items/d01dafdf0c77da133f24

https://qiita.com/mashmoeiar11/items/79a96d2c9c4bde092b08

https://qiita.com/utanesuke/items/1f75fa954e7bf06911fc

https://note.com/shigel_jp/n/n96bad90b3b6a

https://qiita.com/yu-Matsu/items/12b686fe4cab343f50b3

https://zenn.dev/onikarubi/articles/bbb235defa740b

https://note.com/sa1p/n/n51170c4d1a1f

# LCEL

https://python.langchain.com/docs/expression_language/

https://zenn.dev/os1ma/articles/acd3472c3a6755

https://note.com/npaka/n/nc9598129ca3f

https://ninthcode.net/231209-lcel/

https://qiita.com/marimo0825/items/344e3bd0c67549f8cd24


# LangSmith

https://zenn.dev/umi_mori/articles/langchain-langsmith

# LangFlow

https://qiita.com/zakuzakuzaki/items/df36c4babddfd82a8a67

# RAG

https://medium.aiplanet.com/advanced-rag-improving-retrieval-using-hypothetical-document-embeddings-hyde-1421a8ec075a

https://qiita.com/mashmoeiar11/items/c89ae3f5084680676611

https://qiita.com/t_serizawa/items/a2ced4441da714b3076f

https://qiita.com/tuneyukkie/items/e5ac598456c25bf7748e?utm_content=bufferdc238&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer


# Function calling

https://platform.openai.com/docs/guides/function-calling

https://js.langchain.com/docs/modules/model_io/models/chat/how_to/function_calling

https://zenn.dev/stafes_blog/articles/7f96753fa0de75

https://zenn.dev/kazuwombat/articles/1f39f003298028


https://qiita.com/schroneko/items/a4098baa29580ec906b8

https://www.keywalker.co.jp/blog/nlp-llm-function_calling.html


https://qiita.com/wing_man/items/788511a69b09ad3db4e3

https://qiita.com/bathtimefish/items/1d8cfff90a38de07cdb6

# FAISS

https://github.com/facebookresearch/faiss

https://note.com/npaka/n/nb766e344a4fc

https://note.com/masuidrive/n/n5dc6da6dd2b6

# Amazon Bedrock

https://qiita.com/advent-calendar/2023/amazon-bedrock-generative-ai-aws

https://qiita.com/advent-calendar/2023/bedrock-knowledgecommunication




# ローカルLLM、Fine-tuning

https://qiita.com/advent-calendar/2023/llm

https://zenn.dev/karaage0703/articles/2b753b4dc26471

https://qiita.com/tmgauss/items/22c4e5e00282a23e569d

https://logmi.jp/tech/articles/329755

https://note.com/npaka/n/n92cfdc0922c5

https://zenn.dev/kaiyo/articles/557db401391803

https://qiita.com/DeepTama/items/4fec9a2ad6cde3a215f6?utm_content=buffer10e8e&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

https://qiita.com/ponnhide/items/b46a95228d0b832f1770

https://qiita.com/remonga/items/cf3807145bc4030f1ef9

https://qiita.com/Taiyou2000/items/3229d320c252d6de33c7

https://qiita.com/takaaki_inada/items/62e6f21cb2dbdae43ed4

https://qiita.com/Mizuiro__sakura/items/058d2590d31e9f8aeeaa

https://qiita.com/fuyu_quant/items/2692198b65d9763b45a2

https://zenn.dev/kotoba_tech/articles/202d2ff862a1db

https://qiita.com/nqdior/items/bff3712e48aee8c5428c

https://qiita.com/kunishou/items/efd9f68d6aa86d56dc73

https://qiita.com/Yuki-Imajuku/items/c58638008c923ae295d9

# LLMコンペの解説

https://speakerdeck.com/payanotty/kaggle-llmkonpenogong-lue-fa-wojie-shuo

https://note.com/japan_d2/n/na873dd82de6a

# Gemini

https://note.com/ray_30cm_ns/n/n961ad5649ed2

https://qiita.com/DeepMata/items/2b96ff9bf512483e1a7e




# ChatGPTアプリ開発

https://zenn.dev/sutamac/articles/630dc87f62e6b4

https://qiita.com/AKB428/items/7eedb10d62d9021b6e58

https://qiita.com/watanabe-tsubasa/items/8342595d641143b780f7

https://qiita.com/lazy-kz/items/32e8e7c86bdce67beb48

# 生成AI活用

https://japan.googleblog.com/2023/12/2023-bard-10.html

https://note.com/masa_kazama/n/n0f340ab3a3d8

https://note.com/csstudyabroad/n/n5aba3a708f3a

# 生成AI×スライド

https://tech-blog.abeja.asia/entry/advent-2023-day14


https://twitter.com/ctgptlb/status/1730507630798426550?t=3q-ht1FOm3Hbm4HUbbZhcQ



# 生成AIの歴史・時流

https://www.publickey1.jp/blog/23/2023ai.html

https://speakerdeck.com/nhamanasu/diffusionniyorutext2imagenoxi-pu-tosheng-cheng-hua-xiang-gadong-kichu-sumade

https://qiita.com/ken1041/items/8f5108c40f21e9480de9


https://note.com/alfredplpl/n/n7216f5cbd83d