data (e.g., journals, etc) that a user does not want to share Cost: text preprocessing (extraction/tagging), summarization, and agent simulations are token-use-intensive tasksIn addition, here is an overview on fine-tuning, which can utilize open-source LLMs.PreviousLangSmith WalkthroughNextModel comparisonUse caseOverviewOpen-source LLMsInferenceQuickstartEnvironmentRunning Apple silicon GPULLMsOllamaLlama.cppGPT4AllPromptsUse casesCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Use case
Use case ->: data (e.g., journals, etc) that a user does not want to share Cost: text preprocessing (extraction/tagging), summarization, and agent simulations are token-use-intensive tasksIn addition, here is an overview on fine-tuning, which can utilize open-source LLMs.PreviousLangSmith WalkthroughNextModel comparisonUse caseOverviewOpen-source LLMsInferenceQuickstartEnvironmentRunning Apple silicon GPULLMsOllamaLlama.cppGPT4AllPromptsUse casesCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.