chinese-llm-benchmark vs xLAM
chinese-llm-benchmark: ReLE Benchmark (formerly CLiB) provides a continuously updated evaluation for Chinese AI large language models, covering over 337 commercial and open-source LLMs. It offers multi-dimensional capability assessments across various domains, along with comprehensive rankings and a large defect library for model improvement.; 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.
TL;DR
Comparing and selecting the best performing LLMs for specific applications.
Function calling in LLMs
Side-by-Side Comparison
chinese-llm-benchmarkxLAMFeatures
chinese-llm-benchmarkxLAMUse Cases
chinese-llm-benchmarkxLAMBest For
chinese-llm-benchmarkxLAMFAQ
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