Using reinforcement learning for dynamic planning in open-ended conversations, HOW to Make Conversational Form with LangChain, langchain-tutorials: A set of LangChain Tutorials from my youtube channel, llm-tutorials: A set of LLM Tutorials from my youtube channel

Using reinforcement learning for dynamic planning in open-ended conversations – Google Research Blog https://ai.googleblog.com/2023/05/using-reinforcement-learning-for.html

HOW to Make Conversational Form with LangChain | LangChain TUTORIAL - YouTube https://www.youtube.com/watch?v=IT93On2LB5k
langchain-tutorials: A set of LangChain Tutorials from my youtube channel https://github.com/samwit/langchain-tutorials

llm-tutorials: A set of LLM Tutorials from my youtube channel https://github.com/samwit/llm-tutorials

Author: hyunjun

nlp.md

@@ -672,6 +672,7 @@ NLP
 * [인공지능 대화 데이터, 언어 전문가가 만들어야 하는 이유](https://blog.naver.com/textnetofficial/222678979440)
 * [챗GPT와 유사한 오픈소스 모델 공개됐지만… - ZDNet korea](https://zdnet.co.kr/view/?no=20230103091955)
 * [AI Like ChatGPT Are No Good at ‘Not’ | Quanta Magazine](https://www.quantamagazine.org/ai-like-chatgpt-are-no-good-at-not-20230512/)
+* [Using reinforcement learning for dynamic planning in open-ended conversations – Google Research Blog](https://ai.googleblog.com/2023/05/using-reinforcement-learning-for.html)
 * [7-docs](https://github.com/7-docs)
   * [Using OpenAI with JavaScript](https://www.webpro.nl/articles/using-openai-with-javascript)
     * OpenAI의 chat/completions과 embeddings 2개의 엔드포인트와 Pinecone을 이용해서 자신만의 콘텐츠로 챗봇을 구성할 수 있는 가이드를 설명하는 글
@@ -1386,9 +1387,11 @@ NLP
   * [랭체인러닝데이 도입 시급! 회사내규 챗봇 직접 만들어보기](https://aifactory.space/competition/2374/discussion/366)
   * [랭체인러닝데이 챗GPT 점메추 메뉴판, 예산입력하고 점심 메뉴 추천받자](https://aifactory.space/competition/2374/discussion/368)
   * [LangChain Crash Course: Build a AutoGPT app in 25 minutes! - YouTube](https://www.youtube.com/watch?v=MlK6SIjcjE8)
+  * [HOW to Make Conversational Form with LangChain | LangChain TUTORIAL - YouTube](https://www.youtube.com/watch?v=IT93On2LB5k)
   * [langchain-ask-pdf: An AI-app that allows you to upload a PDF and ask questions about it. It uses OpenAI's LLMs to generate a response](https://github.com/alejandro-ao/langchain-ask-pdf)
   * [langchain-chat-nextjs: Next.js frontend for LangChain Chat](https://github.com/zahidkhawaja/langchain-chat-nextjs)
   * [Langchain-Full-Course](https://github.com/Coding-Crashkurse/Langchain-Full-Course)
+  * [langchain-tutorials: A set of LangChain Tutorials from my youtube channel](https://github.com/samwit/langchain-tutorials)
 * [lassl: Easy framework for pre-training language models](https://github.com/lassl/lassl)
 * [lbox-open](https://github.com/lbox-kr/lbox-open)
   * [LBox Open: 한국어 AI Benchmark Dataset](https://blog.lbox.kr/13a2b770-5767-4e9b-8f00-e4f2457ec540)
@@ -1421,6 +1424,7 @@ NLP
 * [LLM Bootcamp - Spring 2023 - The Full Stack](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/)
 * [LLMSurvey: A collection of papers and resources related to Large Language Models](https://github.com/RUCAIBox/LLMSurvey)
   * [A Survey of Large Language Models (LLMs)](https://www.linkedin.com/posts/jae-hong-eom-93368248_survey-large-language-activity-7052275487703793665-WUfC/)
+* [llm-tutorials: A set of LLM Tutorials from my youtube channel](https://github.com/samwit/llm-tutorials)
 * [LM-kor: Pretrained Language Models for Korean](https://github.com/kiyoungkim1/LM-kor)
 * [LMOps: General technology for enabling AI capabilities w/ LLMs and Generative AI models](https://github.com/microsoft/LMOps)
 * [open_flamingo: An open-source framework for training large multimodal models](https://github.com/mlfoundations/open_flamingo)