= prompt | model | StrOutputParser()for tok in chain.stream({"input": "What's the golden thread?"}):    print(tok, end="", flush=True)    A symbol of interconnectedness.PreviousGMailNextFine-Tuning on LangSmith Chat Datasets1. Access Chat DB2. Create the Chat Loader3. Load messages3. Prepare for fine-tuning4. Fine-tune the model5. Use in LangChainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This notebook shows how to use the iMessage chat loader. This class helps convert iMessage conversations to LangChain chat messages.
This notebook shows how to use the iMessage chat loader. This class helps convert iMessage conversations to LangChain chat messages. ->: = prompt | model | StrOutputParser()for tok in chain.stream({"input": "What's the golden thread?"}):    print(tok, end="", flush=True)    A symbol of interconnectedness.PreviousGMailNextFine-Tuning on LangSmith Chat Datasets1. Access Chat DB2. Create the Chat Loader3. Load messages3. Prepare for fine-tuning4. Fine-tune the model5. Use in LangChainCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.