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LiteLLM
What is LiteLLM?
LiteLLM is an open-source library designed to streamline LLM completion and embedding calls. With its user-friendly interface, LiteLLM makes it easy to interact with various LLM models efficiently.
How to use LiteLLM？
To get started with LiteLLM, first, import the 'litellm' library and configure the required environment variables for your LLM API keys, such as OPENAI_API_KEY and COHERE_API_KEY. After setting these variables, you can develop a Python function to make LLM completion calls using LiteLLM. This powerful tool also offers a demo playground, enabling you to compare various LLM models by writing Python code and examining the outputs.
LiteLLM 's Core Features
The core features of LiteLLM include simplified LLM completion and embedding calls, support for multiple LLM models (such as GPT-3.5-turbo and Cohere's command-nightly), and a demo playground to compare LLM models.
LiteLLM 's Use Cases
LiteLLM can be used for various natural language processing tasks, such as text generation, language understanding, chatbot development, and more. It is suitable for both research purposes and building applications that require LLM capabilities.
FAQ from LiteLLM
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What LLM models does LiteLLM support?
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Can LiteLLM be used for research purposes?
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Does LiteLLM have its own pricing?
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What is the demo playground in LiteLLM?
LiteLLM Reviews (0)
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