xLAM logo
xLAM
★ 641
vs
LLMCompiler logo
LLMCompiler
★ 1.9k

xLAM vs LLMCompiler

xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.; LLMCompiler: 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.

01

TL;DR

xLAM logo
xLAMLLM Infra · ★ 641

Function calling in LLMs

LLMCompiler logo
LLMCompilerLLM Infra · ★ 1.9k

Solving complex problems requiring multiple interdependent function calls

02

Side-by-Side Comparison

Field
xLAM logoxLAM
LLMCompiler logoLLMCompiler
Category
LLM Infra
LLM Infra
Stars
★ 641
★ 1.9k
License
Apache-2.0
MIT
Install Command
pip install -e .
pip install -r requirements.txt
Updated
4mo ago
2y ago
Open Source
Yes
Yes
Tags
Large Action Models, Function Calling, Agent Training
LLM Orchestration, Function Calling, Parallel Computing
03

Features

xLAM logoxLAM
01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
LLMCompiler logoLLMCompiler
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
04

Use Cases

xLAM logoxLAM
↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
LLMCompiler logoLLMCompiler
↳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
FAQ

FAQ

What is the difference between xLAM and LLMCompiler?
Both xLAM and LLMCompiler are in the LLM Infra category. xLAM has 641 stars, while LLMCompiler has 1.9k stars.
Which is better, xLAM or LLMCompiler?
The best choice depends on your use case. Choose xLAM if Function calling in LLMs, and LLMCompiler if Solving complex problems requiring multiple interdependent function calls.
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (Apache-2.0).
Is LLMCompiler free or open source?
Yes, LLMCompiler is open source on GitHub (MIT).
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