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LLMCompiler

Active·★ 1.9k·Updated 2024-07-10
★ Trending★ Essential

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

LLMCompiler is a framework that orchestrates efficient and effective parallel function calls for large language models, both open and closed source. It achieves this by automatically identifying parallelizable and interdependent tasks, leading to significant improvements in latency, cost, and accuracy compared to sequential methods.

#LLM Orchestration#Function Calling#Parallel Computing#Performance Optimization#Python#Coding
$ Install
$ pip install -r requirements.txt
↗ Visit site★ GitHub
01

Features

01Efficient and effective orchestration of parallel function calling
02Automatically identifies parallelizable and interdependent tasks
03Achieves significant latency speedup
04Provides cost savings in LLM operations
05Improves accuracy compared to sequential methods
02

Compatibility

OpenAI GPT
OpenAI API
Verified via docs
LLaMA
Open-source
Verified via docs
LangChain LangGraph
Integrated
Verified via docs
LlamaIndex
Available on
Verified via docs
vLLM
Custom Models
Verified via docs
Azure OpenAI
Azure Endpoint
Verified via docs
03

Quick start

1
$ pip install -r requirements.txt
04

Use cases

↳Solving complex problems requiring multiple interdependent function calls
↳Executing multi-hop information retrieval and question answering tasks
↳Developing efficient AI agents that leverage parallel tool use
05

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LLMCompiler AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseLLMCompiler TutorialLLMCompiler Vs CompetitorsLLM OrchestrationFunction CallingParallel Computing

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 1.9k
Last commit1y ago
StatusActive
License—
CategoryRAG / Knowledge Base
Trend (30d)
+0k↑ 4.0%
Links
Documentation↗Discussion↗Issues↗Releases↗

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