LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects f
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Free · no card · unsubscribe anytimeLangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects f
Get-Things-Done-with-Prompt-Engineering-and-LangChain has 1.3k stars on GitHub. It has been forked 372 times. Get-Things-Done-with-Prompt-Engineering-and-LangChain is written mainly in Jupyter Notebook. It has been in active development since 2023. Get-Things-Done-with-Prompt-Engineering-and-LangChain is available under the Apache-2.0 license. Its main topics are artificial-intelligence, chatgpt, deep-learning, gpt-4.
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects f
Get-Things-Done-with-Prompt-Engineering-and-LangChain is an open-source project. It is released under the Apache-2.0 license.
Yes. Get-Things-Done-with-Prompt-Engineering-and-LangChain is free and open source — you can use, modify and self-host it.
Get-Things-Done-with-Prompt-Engineering-and-LangChain is available under the Apache-2.0 license.
Get-Things-Done-with-Prompt-Engineering-and-LangChain is written mainly in Jupyter Notebook.
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