Topic: llm-benchmarking Goto Github
Some thing interesting about llm-benchmarking
Some thing interesting about llm-benchmarking
llm-benchmarking,LLM-KG-Bench is a Framework and task collection for automated benchmarking of Large Language Models (LLMs) on Knowledge Graph (KG) related tasks.
Organization: aksw
llm-benchmarking,RTL-Repo: A Benchmark for Evaluating LLMs on Large-Scale RTL Design Projects - IEEE LAD'24
Organization: aucohl
llm-benchmarking,FM-Leaderboard-er allows you to create leaderboard to find the best LLM/prompt for your own business use case based on your data, task, prompts
Organization: aws-samples
llm-benchmarking,Framework to benchmark LLMs performance on domain categorization, done as part of my internship at iQ Global.
User: gabrielstav
Home Page: https://github.com/Gabrielstav/llm_benchmarking
llm-benchmarking,A benchmark for prompt injection detection systems.
Organization: lakeraai
llm-benchmarking,Official implementation for "MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?"
Organization: mj-bench
Home Page: https://mj-bench.github.io/
llm-benchmarking,Benchmark LLMs' abilities to plan, strategize, and reason by making them play chess against each other.
User: ricardo-agz
llm-benchmarking,Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
User: robertvacareanu
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