{"id":3979,"date":"2024-01-16T16:20:27","date_gmt":"2024-01-16T07:20:27","guid":{"rendered":"https:\/\/julialang.kr\/?p=3979"},"modified":"2024-01-16T16:21:24","modified_gmt":"2024-01-16T07:21:24","slug":"python-ai-gpt-langchain-langchain-%ec%98%88%ec%a0%9c-customizing-llms-and-their-output-prompt-engineering-%ec%86%8c%ea%b0%9c","status":"publish","type":"post","link":"https:\/\/julialang.kr\/?p=3979","title":{"rendered":"[python, ai, gpt, langchain] langchain \uc608\uc81c \u2013 Customizing LLMs and Their Output, Prompt Engineering \uc18c\uac1c"},"content":{"rendered":"\n<p>\ucc45 \u201cGenerative AI with LangChain\u201d chapter8\uc5d0 \ud574\ub2f9 \ud558\ub294 \ub0b4\uc6a9\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<p>LLM fine tuning, Prompt engineering \uc608\uc2dc \uc18c\uac1c<\/p>\n\n\n\n<p>opensource hugginface\uc758 llm\uc744 \uc0ac\uc6a9\ud55c fine tuning \uc18c\uac1c<br>openai llm\uacfc scikit-llm\uc744 \ud1b5\ud55c \ubd84\ub958\ub4f1 \uc18c\uac1c<br>\uc5ec\ub7ec \uac00\uc9c0 prompting \uc18c\uac1c<\/p>\n\n\n\n<iframe src=\"https:\/\/julialang.kr\/wp-content\/uploads\/2024\/01\/langchain_ai_08.html\"\nwidth=100% height=\"23200px\" frameborder=\"0\" seamless allowfullscreen><\/iframe>\n","protected":false},"excerpt":{"rendered":"<p>\ucc45 \u201cGenerative AI with LangChain\u201d chapter8\uc5d0 \ud574\ub2f9 \ud558\ub294 \ub0b4\uc6a9\uc785\ub2c8\ub2e4. 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