Ryota-Kawamura / LangChain-for-LLM-Application-Development

In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

Date Created 2023-06-04 (about a year ago)

Commits 8 (last one about a year ago)

Stargazers 168 (0 this week)

Watchers 4 (0 this week)

Forks 141

License unknown

Ranking

RepositoryStats indexes 535,551 repositories, of these Ryota-Kawamura/LangChain-for-LLM-Application-Development is ranked #190,720 (64th percentile) for total stargazers, and #355,133 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,340/14,956.

Ryota-Kawamura/LangChain-for-LLM-Application-Development is also tagged with popular topics, for these it's ranked: llm (#922/2053), langchain (#205/534), agents (#67/150)

Other Information

Ryota-Kawamura/LangChain-for-LLM-Application-Development has Github issues enabled, there are 2 open issues and 1 closed issue.

Homepage URL: https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/

All Topics

llm agents chains memory models parsers prompts langchain evaluation question-and-answer

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8 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-07-02 @ 07:05am, id: 649245760 / R_kgDOJrK0QA