Popular LLM leaderboards requested.”
Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats …
😎 Find some popular LLM leaderboards[huggingface.co][vellum.ai][nebuly.com][acorn.io]
🤖 Here are some of the most popular Large Language Model (LLM) leaderboards that are actively used in 2024:
1. **Hugging Face Open LLM Leaderboard**: This is one of the most comprehensive and widely-used leaderboards. It evaluates and ranks a variety of open LLMs and chatbots using benchmarks like the Eleuther AI LM Evaluation Harness. It covers tasks such as knowledge, reasoning, and problem-solving capabilities, and it’s well-regarded for its fairness and transparency [ref] [ref].
2. **LMSYS Chatbot Arena Leaderboard**: This leaderboard is known for combining human preference votes with the Elo ranking system to assess language models. It uses benchmarks like MT-Bench and MMLU and allows users to rank models based on interactions with custom prompts [ref].
3. **Vellum.ai Leaderboard**: This leaderboard offers detailed comparisons of LLMs based on factors such as performance, cost, speed, and context window size. It’s useful for developers and businesses looking to understand the practical implications of deploying various LLMs [ref].
4. **Trustbit LLM Benchmark**: This platform provides monthly evaluations of LLMs based on real-world application benchmarks, such as document processing and code generation. It’s particularly useful for developers focusing on high-level comparisons [ref].
5. **Acorn’s Leaderboard of Leaderboards**: This resource aggregates data from several prominent LLM leaderboards and offers insights into how different models perform across a variety of tasks, such as commonsense reasoning and math problems [ref].
These leaderboards are essential for anyone involved in LLM development or deployment, providing standardized methods to evaluate and compare different models’ performances across a range of tasks.[huggingface.co][vellum.ai][nebuly.com][acorn.io]
Hugging Face Dataset Metrics
All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: