liteLLM

An open-source library that simplifies LLM completion and embedding calls.

CommonProductProductivityDevelopment ToolsNatural Language Processing

liteLLM is an open-source library designed to simplify LLM completion and embedding calls. It integrates APIs from multiple platforms including Azure, Anthropic, OpenAI, Cohere, and Replicate, allowing you to easily call them with one function. LiteLLM provides convenient interfaces and a consistent output format, making it easier to use LLM models. It can be used in various scenarios such as natural language processing, text generation, and chatbot systems.

Call Azure's LLM completion and embedding APIs
Call Anthropic's LLM completion and embedding APIs
Call OpenAI's LLM completion and embedding APIs
Call Cohere's LLM completion and embedding APIs
Call Replicate's LLM completion and embedding APIs

liteLLM can be used in various scenarios
including natural language processing
text generation
and chatbot systems.

Visit

liteLLM Visit Over Time

Monthly Visits

164225

Bounce Rate

42.71%

Page per Visit

2.5

Visit Duration

00:02:08

liteLLM Visit Trend

liteLLM Visit Geography

liteLLM Traffic Sources

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Best AI Websites & Tools

liteLLM

liteLLM Visit Over Time

liteLLM Visit Trend

liteLLM Visit Geography

liteLLM Traffic Sources

liteLLM Alternatives

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Chat.com — An interactive dialogue AI model offering Q&A and text generation services

Tencent-Hunyuan-Large — Industry-leading open-source large mixture-of-experts model

aya-101 — Multilingual generative language model

llmc — A local inference command-line tool that converts natural language descriptions into executable shell commands.

Meta-spirit-lm — An advanced model for natural language processing.

Knowledge Table — An open-source tool that simplifies the extraction and exploration of structured data from unstructured documents.

Zamba2-7B — High-performance small language model

LightRAG — A simple and fast retrieval-augmented generation model

TurboSeek — An open-source AI search engine powered by Together.ai.

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falcon-mamba-7b — A high-performance causal language model with 7 billion parameters.

SLM_Survey — Research, Measurement, and Insights on Small Language Models

Entropy-based Sampling — Entropy-based sampling technique that optimizes the diversity and accuracy of model outputs

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